Language Technology Group - Publications

This page contains all publications from the LT group since April 2011. For publications of individual members of the group, see the respective homepages.

2024

• Hatzel, H. and Biemann, C. (2024): Story Embeddings — Narrative-Focused Representations of Fictional Stories. EMNLP 2024, Miami, Florida, USA. (pdf)
• Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korenčić, Maximilian Mayerl, Daniil Moskovskiy, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle. (authors are listed in alphabetical order) (2024): Overview of PAN 2024: Multi-Author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification, 15th International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2024), Grenoble, France (pdf)
• Daryna Dementieva, Daniil Moskovskiy, Nikolay Babakov, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Dmitry Ustalov, Elisei Stakovskii, Alisa Smirnova, A Elnagar, Animesh Mukherjee, Alexander Panchenko. (2024): Overview of the Multilingual Text Detoxification Task at PAN 2024, Working Notes of CLEF 2024, Grenoble, France (pdf)
• Banerjee, D. (2024): Knowledge Graph Question Answering with Generative Language Models. Doctoral Dissertation, U Hamburg (pdf)
• Fynn Petersen-Frey and Chris Biemann (2024): Fine-grained quotation detection and attribution in German news articles, KONVENS 2024, Vienna, Austria (preprint pdf)
• Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Abinew Ali Ayele, Pavan Baswani, Meriem Beloucif, Chris Biemann, Sofia Bourhim, Christine de Kock, Genet Shanko Dekebo, Oumaima Hourrane, Gopichand Kanumolu, Lokesh Madasu, Samuel Rutunda, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Hailegnaw Getaneh Tilaye, Krishnapriya Vishnubhotla, Genta Indra Winata, Seid Muhie Yimam, Saif M. Mohammad (2024): SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages. Findings of the Association for Computational Linguistics (ACL 2024), Bangkok Thailand. (pdf)
• Wang, X., Pan, J., Ding, L., Biemann, C. (2024): Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. Findings of the Association for Computational Linguistics (ACL 2024), Bangkok Thailand. (pdf)
• Ayalew Kassahun  and Seid Muhie Yimam and Yonas Seifu Muanenda and  Beshir Melkaw Ali and Seleshi Getahun Yalew(2024): Uncovering the priorities of scientific research on sustainable development goals: A case study in Ethiopia, Sustainable Development, published by ERP Environment and John Wiley & Sons Ltd. 2024;1–26 , DOI: 10.1002/sd.3020 (pdf)
• Melese Ayichlie Jigar, Abinew Ali Ayele, Seid Muhie Yimam and Chris Biemann (2024): Detecting Hate Speech in Amharic Using Multimodal Analysis of Social Media Memes. Proceedings of The Fourth Workshop on Threat, Aggression & Cyberbullying, Torino, Italy (pdf)
• Abinew Ali Ayele, Esubalew Alemneh Jalew, Adem Chanie Ali, Seid Muhie Yimam, Chris Biemann (2024): Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse. Proceedings of The Fourth Workshop on Threat, Aggression & Cyberbullying, Torino, Italy (pdf)
• Nikishina, I., Bondarenko, A., Zaczek, S., Haag, O. L.,  Hagen, M., Biemann, C. (2024): Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection. RATIO 2024, Bielefled, Germany. (pdf)
• Saha, P., Agrawal, A., Jana, A., Biemann, C., Mukherjee, A. (2024): On Zero-Shot Counterspeech Generation by LLMs. The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024), Torino, Italy. (pdf)
• Petersen-Frey, F., Biemann, C. (2024): Dataset of Quotation Attribution in German News Articles. The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024), Torino, Italy. (pdf)
• Atnafu Lambebo Tonja, Israel Abebe Azime, Tadesse Destaw Belay, Mesay Gemeda Yigezu, Moges Ahmed Mehamed, Abinew Ali Ayele, Ebrahim Chekol Jibril, Michael Melese Woldeyohannis, Olga Kolesnikova, Philipp Slusallek, Dietrich Klakow and Yimam, S.M. (2024): EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation, The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024), Torino, Italy. (pdf)
• Shallouf, A., Herasimchyk, H., Salnikov, M., Veliz, R., Mestvirishvili N., Panchenko, A., Biemann, C., Nikishina, I. (2024): CAM 2.0: End-to-End Open Domain Comparative Question Answering System. The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024), Torino, Italy. (pdf)
• Moskvoretskii, V., Panchenko, A., Nikishina, I. (2024): Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning, The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024), Torino, Italy. (pdf)
• Wang, X., Li, X., Li, X., Biemann, C. (2024): Probing Large Language Models from A Human Behavioral Perspective.Proceedings of the 2024 Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning, NeusymBridge at LREC-COLING 2024, Torino, Italy (pdf)
• Fischer, T., Schneider, F., Geislinger, R., Helfer, F., Koch, G., and Biemann, C. (2024): Concept Over Time Analysis - Unveiling Temporal Patterns for Qualitative Data Analysis. NAACL 2024, Mexico City, Mexico (pdf)
• Hatzel, H. and Biemann, C. (2024): Tell me again! A Large-Scale Dataset of Multiple Summaries for the Same Story. The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024), Torino, Italy (pdf)
• Fischer, T., Schneider, F., Haque, A., Koch, G., Biemann, C. (2024): Extending the Discourse Analysis Tool Suite with Whiteboards for Visual Qualitative Analysis. The 2024 Joint International Conference on Computational Linguistics, Language and Evaluation (LREC-COLING 2024), Torino, Italy (pdf)
• Gupta, T., Hatzel, H. and Biemann, C. (2024): Coreference in Long Documents using Hierarchical Entity Merging. LaTeCH-CLfL 2024, St. Julians, Malta (pdf)
• Fittschen, E., Bruehl, D., Spahr, J., Le, PT., Lysa, Y., and Fischer, T. (2024): AnnoPlot: Interactive Visualisations of Text Annotations. EACL 2024, St. Julians, Malta (pdf)
• Hatzel, H., Stiemer, H., Biemann, C. and Gius, E. (2024): Narrativität visualisieren - Eine Rezeptionsstudie zur Evaluation der heuristischen Qualität von Narrativitätsgraphen. Abstracts of DHd 2024, Passau, Germany (pdf)

2023

• Gius, E., Hatzel, H,. Stiemer, H., Biemann, C. and (2023): From Narrativity to Relevance - A Computational Approach Based on Events. IGEL, Monopoli, Italy (pdf)
• Anastasi, S., Fischer, T., Schneider, F., Biemann, C. (2023): IDA - Incel Data Archive: a multimodal comparable corpus for exploring extremist dynamics in online interaction. Proceedings of the 10th International Conference on CMC and Social Media Corpora for the Humanities, University of Mannheim, Germany (pdf)
• Nikishina, I., Chernomorchenko, P., Demidova, A., Panchenko, A., Biemann, C. (2023): Predicting Terms in IS-A Relations with Pre-trained Transformers. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Bali, Indonesia. (pdf)
• Maslova, M., Rebrikov, S., Artsishevski, A., Zaczek, S., Biemann C., Nikishina I. (2023): RuCAM: Comparative Argumentative Machine for the Russian Language. In Proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts (AIST 2023), Yerevan, Armenia. LNCS, vol. 14486. Springer. (pdf)
• Chernomorchenko, P., Panchenko, A., Nikishina I. (2023): Leveraging Taxonomic information from Large Language Models for Hyponymy Prediction. In Proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts (AIST 2023), Yerevan, Armenia. LNCS, vol. 14486. Springer. (pdf)
• Salnikov, M., Le, H., Rajput, P., Nikishina, I., Braslavski, P., Malykh, V., Panchenko, A. (2023): Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. The 37th Pacific Asia Conference on Language, Information and Computation, Hong Kong, China. (pdf)
• Rouhizadeh, H., Nikishina, I., Yazdani, A., Bornet, A., Zhang, B., Ehrsam, J., Gaudet-Blavignac, C., Naderi, N., Teodoro D. (2023): BioWiC: An Evaluation Benchmark for Biomedical Concept Representation. (preprint pdf)
• Anwar, S., Shelmanov, A., Arefyev, N., Panchenko, A., Biemann, C. (2023). Text augmentation for semantic frame induction and parsing. Language Resources & Evaluation. https://doi.org/10.1007/s10579-023-09679-8. (link)
• Sevgili, Ö., Remus, S., Jana, A., Panchenko, A., Biemann, C. (2023): Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses. In Proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts (AIST), pp. 1--15, Yerevan, Armenia (pdf)
• Liu, J., Gu, J., Feng, C., Shi, W., Biemann, C., & Li, X. (2023): Cross-Modal Impact of Recent Word Encountering Experience. Scientific Studies of Reading, https://doi.org/10.1080/10888438.2023.2234518 (preprint pdf)
• Beloucif, M., Bansal, M., Biemann, C. (2023): Using Wikidata for Enhancing Compositionality in Pre-trained Language Models. Proceedings of Recent Advances in Natural Language Processing, pages 170–178, Varna, Bulgaria. (pdf)
• Rehbein, I., Petersen-Frey, F., Brunner, A., Ruppenhofer, J., Biemann, C., Ponzetto, S.P. (2023): Proceedings of the GermEval 2023 Shared Task on Speaker Attribution in Newswire and Parliamentary Debates (SpkAtt-2023), Ingolstadt, Germany. (pdf)
• Rehbein, I., Petersen-Frey, F., Brunner, A., Ruppenhofer, J., Biemann, C., Ponzetto, S.P. (2023): Overview of the GermEval 2023 Shared Task on Speaker Attribution in Newswire and Parliamentary Debates. Proceedings of the GermEval 2023 Shared Task on Speaker Attribution in Newswire and Parliamentary Debates (SpkAtt-2023), Ingolstadt, Germany. (pdf)
• Geislinger, R., Pourasad, A. E., Gül, D., Djahangir, D., Yimam, S. M., Remus, S., Biemann, C. (2023): Multi-Modal Learning Application - Support Language Learners with NLP Techniques and Eye-Tracking. In Proceedings of the Linguistic Insights from and for Multimodal Language Processing (LIMO) Workshop co-located with the 19th Conference on Natural Language Processing (KONVENS 2023), pp. 1--6, Ingolstadt, Germany (pdf)
• Petersen-Frey, F., Fischer, T., Schneider, F., Eiser, I., Koch, G., Biemann, C. (2023). From Qualitative to Quantitative Research: Semi-Automatic Annotation Scaling in the Digital Humanities. KONVENS 2023 Konferenz zur Verarbeitung natürlicher Sprache/Conference on Natural Language Processing, Ingolstadt, Germany (pdf)
• Biemann, C., Böhmann, T., Gerling, S., Louis, J., Semmann, M. (2023): Das Konzept des House of Computing and Data Science als Blaupause zur Digitalisierung der Forschung. Aktuelle Entwicklungen und Perspektiven (an Hochschulen) im Bereich Data Science, pp. 26-31, Berlin, Germany. (pdf)
• Banerjee D., Arefa, Usbeck R., Biemann C. (2023): DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph, in the 22nd International Semantic Web Conference, Athens, Greece (pdf)
• Ayele A.A., Yimam S.M., Belay T.D., Asfaw T. and Biemann C. (2023): Exploring Amharic Hate Speech Data Collection and Classification Approaches, in  the 14th Conference RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING, Varna, Bulgaria (pdf)
• Ayele A.A., Dinter S.,Yimam S.M. and Biemann C. (2023): Multilingual Racial Hate Speech Detection Using Transfer Learning, in the 14th Conference RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING, Varna, Bulgaria (pdf)
• Wang, X., Li, X., Ding, L., Zhao, S., Biemann, C. (2023): Using Self-Supervised Dual Constraint Contrastive Learning for Cross-modal Retrieval - European Conference on Artificial Intelligence 2023 (pdf)
• Hatzel, H., Petersen-Frey, F., Fischer, T., Biemann, C. (2023): Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity - European Conference on Artificial Intelligence 2023 (pdf)
• Hatzel, H,  Stiemer, H., Biemann, C. and Gius, E. (2023): Machine learning in computational literary studies. it - Information Technology. (pdf)
• Remus, S. (2023): Domain Defining Context: On Domain-Dependent Corpus Expansion and Contextualized Semantic Structuring. Doctoral Dissertation, U Hamburg (pdf)
• Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Sa'id Ahmad, Nedjma Ousidhoum, Abinew Ayele, Saif M Mohammad, Meriem Beloucif, Sebastian Ruder. SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval): arXiv preprint arXiv:2304.06845. 2023. (pdf)
• Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Sa'id Ahmad, Meriem Beloucif, Saif Mohammad, Sebastian Ruder, Oumaima Hourrane, Pavel Brazdil, Felermino Dário Mário António Ali, Davis Davis, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, Steven Arthur. Afrisenti: A Twitter sentiment analysis benchmark for African languages: arXiv preprint arXiv:2302.08956. 2023. (pdf)
• Hatzel. H. O., Biemann, C. (2023): Narrative Cloze as a Training Objective: Towards Modeling Stories Using Narrative Chain Embeddings. In Proceedings of the 5th Workshop on Narrative Understanding, Toronto, Canada. Association for Computational Linguistics (pdf)
• Schneider, F., Fischer, T., Petersen-Frey, F., Eiser, I., Koch, G., Biemann, C. (2023). The D-WISE Tool Suite: Multi-Modal Machine-Learning-Powered Tools Supporting and Enhancing Digital Discourse Analysis. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada. (pdf)
• Banerjee, D., Nair, P. A., Usbeck, R., Biemann, C. (2023). The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing. ACL 2023 Findings Short Paper (pdf)
• Schneider, F. and Biemann, C. (2023): LT at SemEval-2023 Task 1: Effective Zero-Shot Visual Word Sense Disambiguation Approaches using External Knowledge Sources. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, Canada. Association for Computational Linguistics (ACL). (pdf)
• Tonja A. L.,  Belay T. D.,  Azime I. A.,  Ayele A. A.,  Mehamed M. A., Kolesnikova O.,  Yimam S. M. (2023): Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities, In the fourth workshop on Resources for African Indigenous Languages (RAIL) at EACL2023, Dubrovnik, Croatia (pdf)
• Wang, J., Yang, J., Biemann, C., Li, X. (2023): Insight to mechanism of semantic processing of lexicalized and novel compound words: an eye movement study. Journal of Experimental Psychology: learning, memory and cognition (accepted March 2023) (preprint pdf)
• Banerjee, D., Awale, S., Usbeck R., Biemann, C. : DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph, The 13th International Workshop on Bibliometric-enhanced Information Retrieval @ ECIR 2023, Dublin, Ireland (pdf)
• Banerjee, D., Nair, P. A., Usbeck R., Biemann, C (2023): GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering, The Extended Semantic Web Conference, (ESWC 2023), Hersonissos, Greece (pdf)
• Banerjee, D., Poser, M., Wiethof, C., Subramanian, V. S., Paucar, R., Bittner, E., Biemann, C. (2023): A system for Human-AI collaboration, The AAAI 2023 Workshop on Representation Learning for Responsible Human-Centric AI, Washington DC, USA (pdf)
• Schneider, F., Yimam, S.M., Petersen-Frey , F., Biemann, C., von Nordheim, G., Kleinen-von Königslöw, K., (2023): CodeAnno: Extending WebAnno with Hierarchical Document Level Annotation and Automation. The 17th Conference of the European Chapter
  of the Association for Computational Linguistics (EACL 2023), System Demonstrations Track, Dubrovnik, Croatia (pdf)
• Katz, D. M., Hartung, D., Gerlach, L., Jana, A., Bommarito, M.J. , Natural Language Processing in the Legal Domain (January 24, 2023). Available at SSRN
• Banerjee, D., Yimam, S.M., Awale, S. and Biemann, C. (2023), ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System, The AAAI-23 Workshop on Scientific Document Understanding at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA. (preprint pdf)
• Hatzel. H. O., Gius, E., Stiemer, H., Biemann, C. (2023): Handlung und Narrativität - Zum Verhältnis von Handlungszusammenfassungen und relevanten Ereignissen. Abstracts of DHd 2023: Open Humanities, Open Culture, Luxemburg/Trier. (pdf)
• Fischer, T., Eiser, I., Schneider, F., Petersen-Frey, F., Biemann, C., Koch, G. (2023): D-WISE - Digitale Wissensoziologische Diskursanalyse. Abstracts of DHd 2023: Open Humanities, Open Culture, Luxemburg/Trier. (preprint pdf)
• Eiser, I., Fischer, T., Schneider, F., Koch, G., Biemann, C., Petersen-Frey, F. (2023): Open Science Prinzipien und interdisziplinäre Kollaboration in D- WISE: Zwischen Hermeneutik und Digitaler Methode in der Diskursanalyse. Abstracts of DHd 2023: Open Humanities, Open Culture, Luxemburg/Trier. (preprint pdf)
• Petersen-Frey, F. (2023): Erweiterbare, interaktive Softwareplattform für die Anwendung von Sprachtechnologie in großen Textkorpora zur Unterstützung von Such- und Analyseworkflows in den Digital Humanities. Abstracts of DHd 2023: Open Humanities, Open Culture, Luxemburg/Trier. (preprint pdf)

2022

• Barteld, F. (2022): Dealing with Spelling Variation in Non-Standard Texts. Doctoral Dissertation, U Hamburg (pdf)
• Johannßen, D. (2022): Computer-aided Psychometrics with Natural Language Processing. Doctoral Dissertation, U Hamburg (pdf)
• Milde, B. (2022): On Representation Learning in Speech Processing and Automatic Speech Recognition. Doctoral Dissertation, U Hamburg (pdf)
• Alaçam, Ö., Ruppert, E., Malhotra, G., Biemann, C., Zarrieß, S. (2022): Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pages 197–210 (pdf)
• Kleinen-von Königslöw, K., Biemann, C. (2022): Wie man interdisziplinäre Kooperationen zwischen Kommunikationswissenschaft und Informatik gut gestaltet. Aviso - Informationsdienst der Deutschen Gesellschaft für Publizistik- und Kommunikationswissenschaft 2022(2):8-9 (pdf)
• Ayele A.A., Belay T.D., Yimam S.M., Dinter S., Asfaw, T.T.,  Biemann C. (2022): Challenges of Amharic Hate Speech Data Annotation Using Yandex Toloka Crowdsourcing Platform, The Sixth Widening Natural Language Processing Workshop (WiNLP 2022) in conjunction with EMNLP 2022, Abu Dhabi, UAE (pdf)
• Ayele A.A., Belay T.D., Asfaw T.T., Dinter S., Yimam S.M. (2022), Biemann C.: The 5Js in Ethiopia: Amharic Hate Speech Data Annotation Using Toloka Crowdsourcing Platform, International Conference on Information and Communication Technology for Development for Africa (ICT4DA 2022), Bahir Dar (pdf)
• Belay T.D., Tonja A.L., Kolesnikova O., Yimam S.M., Ayele A.A., Haile S.B., Sidorov G., Gelbukh A. (2022): The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation, The Sixth Widening Natural Language Processing Workshop (WiNLP 2022) in conjunction with EMNLP 2022,  Abu Dhabi, UAE (pdf)
• Belay T.D., Tonja A.L.,  Kolesnikova O.,   Yimam S.M., Ayele A.A.,  Haile S.B.,  Sidorov G., Gelbukh A. (2022): The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation,  International Conference on Information and Communication Technology for Development for Africa (ICT4DA 2022), Bahir Dar, Ethiopia (pdf)
• Poser M., Wiethof C., Banerjee D., Shankar S., Paucar R., Bittner E. (2022): Let’s Team Up with AI! Toward a Hybrid Intelligence System for Online Customer Service, DESRIST 2022 [Best Paper Award] (pdf)
• Wiehe A., Schneider F., Blank S., Wang, X., Zorn H., Biemann C. (2022): Language over Labels: Contrastive Language Supervision Exceeds Purely Label-Supervised Classification Performance on Chest X-Rays. Proc. AACL SRW 2022, Taiwan (pdf)
• Fischer, T., Remus, S., Biemann, C. (2022): Measuring Faithfulness of Abstractive Summaries. In Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), pages 63-73, Potsdam, Germany (pdf)
• Geislinger, R., Milde, B., Biemann, C. (2022): Improved Open Source Automatic Subtitling for Lecture Videos. In Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), pages 98–103, Potsdam, Germany (pdf)
• Remus S., Wiedemann G., Anwar S., Petersen-Frey F., Yimam S. M., Biemann C. (2022), More Like This: Semantic Retrieval with Linguistic Information, In Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), pages 156–166, Potsdam, Germany (pdf).
• Hofmann, M.J., Remus, S., Biemann, C., Radach, R., Kuchinke L. (2022): Language Models Explain Word Reading Times Better Than Empirical Predictability. Frontiers in Artificial Intelligence 2022(4):730570 (pdf)
• Ilgen, B., Biemann, C. (2022): CWITR: A Corpus for Automatic Complex Word Identification in Turkish Texts. Proc. International Conference on Natural Language Processing and Information Retrieval (NLPIR 2022), Bangkok, Thailand (pdf)
• Kraft, A., Zorn, H.P., Fecht, P., Simon, J., Biemann, C., Usbeck, R. (2022): Measuring Gender Bias in German Language Generation. Proc. INFORMATIK 2022, Bonn, Germany (pdf)
• Biemann, C., Heyer, G., Quasthoff, U. (2022): Wissensrohstoff Text. Eine Einführung in das Text Mining. Springer Vieweg (link) (glossary pdf)
• Koch, G., Biemann, C., Eiser, I., Fischer, T., Schneider, F., Stumpf, T., García, A.T. (2022): D-WISE Tool Suite for the Sociology of Knowledge Approach to Discourse. In: Rauterberg, M. (eds.) Proc. Culture and Computing. HCII 2022. Lecture Notes in Computer Science, vol 13324. Springer, Cham. https://doi.org/10.1007/978-3-031-05434-1_5 (link)
• Belay, T. D., Yimam S. M., Ayele, A. A.,  and Biemann, C. (2022): Question Answering Classification for Amharic Social Media Community Based Questions, The 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages (SIGUL 2022), Marseille, France (pdf).
• Bhattacharyya, S., and Jana, A., (2022): Towards Bengali WordNet Enrichment using Knowledge Graph Completion Techniques, In Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI) Co-located with LREC, 2022. (pdf)
• Awale, S., and Jana, A. (2022): Enriching Hindi WordNet Using Knowledge Graph Completion Approach, In Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI) Co-located with LREC), 2022.  (pdf)
• Beloucif M., Yimam S.M., Stahlhacke S. and  Biemann C. (2022): Elvis vs. M. Jackson: Who has More Albums? Classification and Identification of Elements in Comparative Question. In the 2022 International Conference on Language Resources and Evaluation (LREC 2022), Marseille, France (pdf).
• Johannßen, D., Biemann, C., Scheffer, D. (2022): Classification of German Jungian Extraversion and Introversion Texts with Assessment of Changes during the COVID-19 Pandemic. In Proceedings of the LREC22 workshop on Resources and Processing of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive / psychiatric / developmental impairments (RaPID-4). European Language Resources Association (ELRA), Marseille, France (pdf).
• Banerjee, D., Nair, P. A., Kaur, J. N., Usbeck, R., Biemann, C. (2022): Modern Baselines for SPARQL Semantic Parsing, In Proceedings of The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22). ACM, New York, NY, USA. (link)
• Schneider, F., and Biemann, C., (2022): Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus, In Proceedings of The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22). ACM, New York, NY, USA. (link)
• Sevgili, Ö., Shelmanov, A., Arkhipov, M., Panchenko, A., Biemann, C. (2022): Neural entity linking: A survey of models based on deep learning, Semantic Web Journal, vol. 13, no. 3, pp. 527-570, IOS Press (2022), doi:10.3233/SW-222986. (link)
• Petersen-Frey, F., Soll, M., Kobras, L., Johannsen, M., Kling, P., Biemann, C. (2022): Dataset of Student Solutions to Algorithm and Data Structure Programming Assignments, In Proceedings of the 2022 Language Resource and Evaluation Conference (LREC), Marseille, France. (pdf)
• Wang, X.*, Schneider, F.*, Alacam, Ö., Chaudhury, P., Biemann, C. (2022):  MOTIF: Contextualized Images for Complex Words to Improve Human Reading, In Proceedings of the 2022 Language Resource and Evaluation Conference (LREC), Marseille, France. (pdf)
• Chalkidis, I., Jana, A., Hartung, D., Bommarito, M. J., Androutsopoulos, I., Katz, D. M., Aletras, N. (2022): LexGLUE: A Benchmark Dataset for Legal Language Understanding in English,  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL),  Dublin, Ireland. (pdf)
• Venkatesh, G., Jana, A., Remus, S., Sevgili, Ö., Srinivasaraghavan, G., and Biemann, C. (2022):  Using Distributional Thesaurus To Enhance Transformer-based Contextualized Representations for Low Resource Languages, In Proceedings of the 37th ACM/SIGAPP Symposium On Applied Computing (SAC). (pdf)
•  Jana, A., Venkatesh, G.,  Yimam, S. M., and Biemann, C. (2022): Hypernymy Detection for Low-Resource Languages: A Study for Hindi, Bengali, and Amharic, ACM Transactions on Asian and Low-Resource Language Information Processing (pdf)
• Jana, A., Haldar, S., and Goyal, P. (2022): Network Embeddings from Distributional Thesauri for Improving Static Word Representations, Expert Systems with Applications 187: 115868 (link).
• Nikishina, I., Adrianov, I., Vakhitova, A., Panchenko, A. TaxFree: a Visualization Tool for Candidate-free Taxonomy Enrichment. In: The 2nd Conference of the Asia- Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. (2022). (link)

2021

• Bhomwick, A., Jana, A. (2021) Sentiment Analysis For Bengali Using Transformer Based Models. ICON 2021: 18th International Conference on Natural Language Processing, NIT Silchar, India (pdf)
• Yimam, S.M., Ayele, A.A., Venkatesh, G., Gashaw I., Biemann C. (2021): Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets. Future Internet 2021, 13, 275. (pdf)  (link)
• Alaçam, Ö., Malhotra, G., Ruppert, E., Biemann, C. (2021): Gaze-based Multimodal Meaning Recovery for Noisy / Complex Environments. ICMI '21: Proceedings of the 2021 International Conference on Multimodal Interaction, Montréal, QC, Canada, Pages 673–681 (pdf) (link)
• Vauth, M., Hatzel, H., Gius, E., Biemann, C. (2021): Automated Event Annotation in Literary Texts, Proceedings of the Conference on Computational Humanities Research 2021 (CHR 2021), Amsterdam, Netherlands (pdf)
• Beloucif, M., Biemann, C. (2021): Probing Pre-trained Language Models for Semantic Attributes and their Values. Findings of the Association for Computational Linguistics: EMNLP 2021, Punta Cana, Dominican Republic, pp. 2554–2559 (pdf)
• Belay, T. D., Ayele, A.A., Gelaye, G., Yimam, S.M., and Biemann, C. (2021): Impacts of Homophone Normalization on Semantic Models for Amharic. Proceedings of the Third International Conference on ICT for Development for Africa (ICT4DA 2021), Bahir Dar, Ethiopia (pdf)
• Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M., Hagen, M. (2021): Overview of Touché 2021: Argument Retrieval. Proceedings of the International Conference of the Cross-Language Evaluation Forum for European Languages CLEF 2021: Experimental IR Meets Multilinguality, Multimodality, and Interaction, Virtual Event (pdf)
• Milde, B., Fischer, T., Remus, S., Biemann, C. (2021): MoM: Minutes of Meeting Bot. Proceedings of Interspeech 2021 Show&Tell, Brno, Czech Republic (pdf, video (de), video (en), git)
• Geislinger, R., Milde, B., Baumann, T., Biemann, C. (2021): Live Subtitling for BigBlueButton with Open-Source Software. Proceedings of Interspeech 2021 Show&Tell, Brno, Czech Republic (pdf, video (en), git)
• Hatzel, H., Biemann, C. (2021): LTUHH@STSS: Applying Coreference to Literary Scene Segmentation, Proceedings of the Shared Task on Scene Segmentation, Düsseldorf, Germany (pdf)
• Schröder, F., Hatzel, H., Biemann, C. (2021): Neural End-to-end Coreference Resolution for German in Different Domains, Proceedings of KONVENS, Düsseldorf, Germany (pdf, git)
• Yadav, A., Milde, B. (2021): forumBERT: Topic Adaptation and Classification of Contextualized Forum Comments in German. Proceedings of KONVENS, Düsseldorf, Germany (pdf, git)
• von Boguszewski, N., Moin, S., Bhowmick, A., Yimam, S.M., Biemann, C. (2021): How Hateful are Movies? A Study and Prediction on Movie Subtitles. Proceedings of KONVENS, Düsseldorf, Germany (pdf)
• Johner, T., Jana, A., Biemann, C. (2021): Error Analysis of using BART for Multi-Document Summarization: A Study for English and German Language. Proceedings of NoDaLiDa, Reykjavik, Iceland (Online) (pdf)
• Beloucif, M., Biemann, C. (2021): How can BERT Understand High-level Semantics? NSNLI Workshop at IJCAI 2021, Online (pdf)
• Jana, A., Biemann, C. (2021): An Investigation towards Differentially Private Sequence Tagging in a Federated Framework. Proc. Third Workshop on Privacy in Natural Language Processing at with NAACL 2021, Online (pdf)
• Schneider, F., Alaçam, Ö., Wang, X., Biemann, C. (2021): Towards Multi-Modal Text-Image Retrieval to improve Human Reading. NAACL 2021 Student Research Workshop, Mexico City, Mexico (online) (pdf)
• Wiechmann, M. ,Yimam S. M., Biemann, C. (2021): ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration. The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies - System Demonstrations, Mexico City, Mexico (online) (pdf)
• Hatzel, H., Biemann, C. (2021): Towards Layered Events and Schema Representations in Long Documents. NAACL 2021 Student Research Workshop, Mexico City, Mexico (online) (pdf)
• Milde, B., Geislinger, R., Lindt, I., Baumann, T. (2021): Open Source Automatic Lecture Subtitling. Proceedings of ESSV 2021, pages 128-135. (pdf, code)
• Gooding, S., Kochmar, E., Yimam, S.M., Biemann, C. (2021): Word Complexity is in the Eye of the Beholder. The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), Mexico City, Mexico (pdf).
• Mathew, B., Saha, P., Yimam, S.M., Biemann, C., Goyal, P., Mukherjee, A. (2021): HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. Proceedings of AAAI-21, Virtual Conference. (pdf)
• Haering, M., Andersen, J.S., Biemann, C. Loosen, W., Milde, B., Pietz, T., Stöcker, C., Wiedemann, G., Zukunft, O., Maalej, W. (2021): Forum 4.0: An Open-Source User Comment Analysis Framework. The 2021 Conference of the European Chapter of the Association for Computational Linguistics - System Demonstrations. Kyiv, Ukraine (Online) (pdf)
• Haase, C., Anwar, S. Yimam, S.M., Friedrich, A., Biemann, C. (2021): SCoT: Sense Clustering over Time: a tool for the analysis of lexical change. The 2021 Conference of the European Chapter of the Association for Computational Linguistics - System Demonstrations. Kyiv, Ukraine (Online) (pdf)
• Chekalina, V., Bondarenko, A., Biemann, C., Beloucif, M., Logacheva, V., Panchenko, A. (2021): Is Python better than MATLAB for Deep Learning? Answering Comparative Questions in Natural Language. The 2021 Conference of the European Chapter of the Association for Computational Linguistics - System Demonstrations. Kyiv, Ukraine (Online) (pdf)
• Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour,Y., Panchenko, A., Biemann,C., Stein, B., Wachsmuth, H., Potthast, M., Hagen, M. (2021): Overview of Touché 2021: Argument Retrieval. Extended Abstract. Proceedings of ECIR 2021, Lucca, Italy (Online) (pdf)
• Krüger, N., Fischer, K., Manoonpong, P., Palinko, O., Bodenhagen, L., Baumann, T., Kjærum, J., Rano, I., Naik, L., Juel, W., Haarslev, F., Ignasov, J., Marchetti, E., Langedijk, R., Kollakidou, A., Jeppesen, K., Heidtmann, C. and Dalgaard, L. (2021): "The SMOOTH-Robot: A Modular, Interactive Service Robot". Frontiers in Robotics and AI, 8:294. (doi)
• Fischer, K., Naik, L., Langedijk, R., Baumann, T., Jelînek, M. and Palinko, O. (2021): "Initiating Human-Robot Interactions Using Incremental Speech Adaptation". in: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction. New York, USA. Association for Computing Machinery, 421–425. (doi)
• Timo Baumann and Ashutosh Saboo (2021): "Evaluating Heuristics for Audio-Visual Translation". in: Proceedings of the Conference on Computational Humanities Research 2021. Amsterdam, the Netherlands.  Pages 171-180. (urn)
• Timo Baumann (2021): "Ranking and Comparing Speakers Based on Crowdsourced Pairwise Listener Ratings". in: Voice Attractiveness: Studies on Sexy, Likable, and Charismatic Speakers. (Benjamin Weiss, Jürgen Trouvain, Melissa Barkat-Defradas and John J. Ohala, Eds.). Singapore, Springer Singapore, pages 263-279. (doi)

2020

• Johannßen, D., Biemann, C., 2020. Social Media Unrest during the COVID-19 Pandemic: Neural Implicit Motive Pattern Recognition as psychometric Signs of Sever Crises. In Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES). The COLING 2020 Organizing Committee, Zurich, Switzerland (pdf).
• Yimam S. M., Alemayehu H. M., Ayele A. A. and Biemann C. (2020): Exploring Amharic Sentiment Analysis from Social Media Texts: Building Annotation Tools and Classification Models. The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (pdf) (poster)
• Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M. Hagen, M. (2020): Overview of Touché 2020: Argument Retrieval. Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum. Thessaloniki, Greece. (pdf)
• Hofmann, M. J., Müller, L., Rölke, A., Radach, R., Biemann, C., (2020): Individual corpora predict fast memory retrieval during reading. Proceedings of CogALex-VI (Cognitive Aspects of the Lexicon) workshop co-located with COLING 2020, Barcelona, Spain / Online (pdf) (video).
• Banerjee, D., Chaudhuri, D., Dubey, M., Lehmann, J. (2020) PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs. International Semantic Web Conference. (pdf mp4)
• Milde, B., Biemann, C. (2020): Improving Unsupervised Sparsespeech Acoustic Modelswith Categorical Reparameterization. Proceedings of INTERSPEECH 2020, Shanghai, China (pdf)
• Bondarenko, A., Panchenko, A., Beloucif, M. Biemann, C., Hagen, M.(2020) Answering Comparative Questions with Arguments. Datenbank Spektrum 20:155–160. (pdf)
• Soll, M.,  Kobras, L., Johannsen, M., Biemann, C. (2020): Enhancing a Theory Focused Course Through the Introduction of Automatically Assessed Programming Exercises – Lessons Learned. Proceedings of the Impact Papers at EC-TEL 2020 (pdf)
• Zock, M., Biemann, C. (2020): Comparison of Different Lexical Resources With Respect to the Tip-of-the-Tongue Problem. Journal of Cognitive Science 21-2:193-252. (pdf)
• Anwar, S., Shelmanov, A., Panchenko, A. and Biemann C. (2020): Generating Lexical Representations of Frames using Lexical Substitution. Proceedings of the International Conference on Probability and Meaning (PaM ) 2020, Gothenburg, Sweden. (pdf)
• Feng, J., Sevgili, Ö., Remus, S., Ruppert, E., Biemann, C. (2020): Supervised Pun Detection and Location with Feature Engineering and Logistic Regression. Proceedings of the 5th SwissText & 16th KONVENS Joint Conference 2020, Zurich, Switzerland. (pdf)
• Johannßen, D., Biemann C., and Scheffer, D. (2020). Ethical considerations of the GermEval20 Task 1. IQ assessment with natural language processing: Forbidden research or gain of knowledge? In Proceedings of the GermEval 2020 Task 1 Workshop in conjunction with the 5th SwissText & 16thKONVENS Joint Conference 2020, pages 30–44, Zurich, Switzerland (online) (pdf)
• Johannßen, D., Biemann, C., Remus S., Baumann T., and Scheffer, D. (2020). GermEval 2020 Task 1 on the Classification and Regression of Cognitive and Motivational style from Text. In Proceedings of the 5th SwissText & 16th KONVENS Joint Conference 2020, pages 1–10, Zurich, Switzerland (online) (pdf)
• Schröder, F., Biemann, C. (2020): Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, Washington, USA (pdf)
• Wiedemann G, Yimam S.M., Biemann C. (2020): UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. Proceedings of The 14th International Workshop on Semantic Evaluation (SemEval), Barcelona, Spain. (pdf) (poster)
• Jana, A., Mukherjee, A., Goyal, P., Network measures: A new paradigm towards reliable novel word sense detection, in International Journal of Information Processing and Management 57(6): 102173 (2020). (pdf)
• Jana, A., Varimalla, N. R., Goyal, P. (2020): Using Distributional Thesaurus Embedding for Co-hyponymy Detection. Proceedings of the International Conference on Language Resources and Evaluation (LREC 2020), Marseille, France. (pdf)
• Logacheva, V., Teslenko, D., Shelmanov, A., Remus, S., Ustalov, D., Kutuzov, A., Artemova, E., Biemann, C., Ponzetto, S.P., Panchenko, A. (2020): Word Sense Disambiguation for 158 Languages using Word Embeddings Only. Proceedings of the International Conference on Language Resources and Evaluation (LREC 2020), Marseille, France. (pdf)
• Yimam, S.M.,  Venkatesh, G., Lee, J.  Biemann, C. (2020): Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System. Proceedings of the International Conference on Language Resources and Evaluation (LREC 2020), Marseille, France. (pdf)
• Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C., Panchenko, A., Stein, B. (2020): Touché: First Shared Task on Argument Retrieval. Proceedings of ECIR 2020 Clef Task papers, Lisbon, Portugal (pdf)
• Bondarenko, A., Hagen, M., Beloucif, M., Biemann, C., Panchenko, A. (2020): Answering Comparative Questions withWeb-based Arguments. Proceedings of AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems, New York, USA (pdf).
• Bondarenko, A., Braslavski, P., Völske, M., Aly, R., Fröbe, M., Panchenko, A., Biemann, C., Stein, B., Hagen, M. (2020): Comparative Web Search Questions. The 13th ACM International WSDM Conference, Houston, Texas, USA (pdf)
• Kempfert, I., Anwar, S., Friedrich, A., Biemann, C. (2020): Digital History of Concepts: Sense Clustering over Time. 42. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft (DGfS), Hamburg, Germany. (abstract pdf)

2019

• Kohail, S. (2019): Unsupervised Induction of Domain Dependency Graphs Extracting, Understanding and Visualizing Domain Knowledge. Doctoral Dissertation, Universität Hamburg (pdf)
• Yimam S. M., Ayele, A. A., Biemann C. (2019): Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic. In Proceedings of  International Conference On Language Technologies For All: Enabling Linguistic Diversity And Multilingualism Worldwide (LT4ALL 2019). Paris, France (pdf).
• Heyer, G., Fukuda, K., Schäfer, F., Kantner, C., Piasecki, M., Biemann, C., Yoshida, H., Jänicke, S. (2019): Workgroup 2: Shonan Model for Content Selection & Analysis. NII Shonan Meeting Report No. 132, pp. 11-19 (pdf)
• Remus, S., Aly, R., Biemann, C. (2019): GermEval 2019 Task 1: Hierarchical Classification of Blurbs. In Proceedings of the GermEval 2019 Workshop in Conjunction with the 15th Conference on Natural Language Processing (KONVENS 2019), Erlangen, Germany (pdf, web)
• Wiedemann, G.; Heyer, G. (2019): Multi-modal page stream segmentation with convolutional neural networks, In: Language Resources and Evaluation (LREV), Online first: 27.09.2019 (pdf, web).
• Yimam S.M. (2019): Adaptive Approaches to Natural Language Processing in Annotation and Application. Ph.D. Thesis, University of Hamburg pdf
• Baumann, T., Hussein, H., Meyer-Sickendiek, B., Elbeshausen, J. (2019): A Tool for Human-in-the-Loop-Analysis and Exploration of (not only) Prosodic Classifications for Post-modern Poetry. Proceedings of INF-DH, Kassel, Germany (DOI).
• Wiedemann, G., Remus, S., Chawla, A., Biemann, C. (2019): Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. Proceedings of KONVENS 2019, Erlangen, Germany (pdf).
• Johannßen, D., Biemann, C. (2019): Neural classification with attention assessment of the implicit-association test OMT and prediction of subsequent academic success. Proceedings of KONVENS 2019, Erlangen, Germany (pdf).
• Beloucif, M., Gonzalez, AV., Bollmann, M., Søgaard, A. (2019): Naive regularizers for low-resource neural machine translation. Proceedings of Recent Advances in Natural Language Processing 2019, Borovets, Bulgaria (pdf).
• Karl, F., Lauri, M., Biemann, C. (2019): Creating Information-maximizing Natural Language Messages Through Image Captioning-Retrieval. Proceedings of KONVENS 2019, Erlangen, Germany (pdf) (poster).
• Milde, B. and Biemann, C. (2019): SparseSpeech: Unsupervised Acoustic Unit Discovery with Memory-Augmented Sequence Autoencoders . Proceedings of Interspeech 2019, Graz, Austria (pdf)
• Ustalov, D., Panchenko, A., Biemann, C., Ponzetto, S. P., (2019): Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction. Computational Linguistics Vol. 45, No. 3, September 2019 (pdf)
• Saboo, A., Baumann, T. (2019): Integration of Dubbing Constraints Into Machine Translation. Proceedings of the 4th Conference on Machine Translation, Florence, Italy (DOI).
• Panchenko, A., Bondarenko, A., Franzek, M., Hagen, M., Biemann, C. (2019): Categorizing Comparative Sentences. Proceedings of the 6th Workshop on Argument Mining, Florence, Italy (pdf)
• Friedrich, M., Köhn, A., Wiedemann, G., Biemann, C. (2019): Adversarial Learning of Privacy-Preserving Text Representations for De Identification of Medical Records. Proceedings of ACL 2019 (full papers), Florence, Italy (pdf)
• Jana, A., Puzyrev, D., Panchenko, A., Goyal, P., Biemann, C., Mukherjee, A. (2019): On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. Proceedings of ACL 2019 (full papers), Florence, Italy (pdf)
• Kutuzov, A., Dorgham, M, Oliynyk, O., Biemann, C., Panchenko, A. (2019): Making Fast Graph-based Algorithms with Graph Metric Embeddings. Proceedings of ACL 2019 (short papers), Florence, Italy (pdf)
• Aly, R., Acharya, S., Ossa, A., Köhn, A., Biemann, C., Panchenko, A. (2019): Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings. Proceedings of ACL 2019 (short papers), Florence, Italy (pdf)
• Chernodub, A., Oliynyk, O., Heidenreich, P., Bondarenko, A., Hagen, M., Biemann, C., Panchenko, A. (2019): TARGER: Neural Argument Mining at Your Fingertips. Proceedings of ACL 2019 (demo papers), Florence, Italy (pdf)
• Sevgili, Ö., Panchenko, A., Biemann, C. (2019): Improving Neural Entity Disambiguation with Graph Embeddings. Proceedings of the ACL 2019 Student Research Workshop, Florence, Italy (pdf)
• Aly, R., Remus, S., Biemann, C. (2019): Hierarchical Multi-label Classification of Text with Capsule Networks. Proceedings of the ACL 2019 Student Research Workshop, Florence, Italy (pdf)
• Akhtar, M.S., Kumar, A., Ekbal, A., Biemann, C., Bhattacharyya, P. (2019): Language-Agnostic Model for Aspect-Based Sentiment Analysis. Proceedings of IWCS, Gothenburg, Sweden (pdf)
• Hedeland, H., Remus, S., Ferger, A., Bührig, K., Biemann, C. (2019): Annotation gesprochener Daten mit WebAnno-MM. Proceedings of 6. Jahrestagung des Verbands Digital Humanities im deutschsprachigen Raum (DHd), Frankfurt a.M., Germany (pdf)
• Fischer, T., Remus, S and Biemann, C (2019): LT Expertfinder: An Evaluation Framework for Expert Finding Methods. Proceedings of NAACL-HLT 2019 (Demo Track), Minneapolis, MN, USA (pdf, demo, code)
• Kutuzov, A., Dorgham, M., Oliynyk, O., Panchenko, A. and Biemann, C. (2019): Learning Graph Embeddings from WordNet-based Similarity Measures. Proceedings of *SEM, Minneapolis, MN, USA (pdf)
• Johannßen, D., Biemann, C. and Scheffer, D. (2019): Reviving a psychometric measure: Classification and prediction of the Operant Motive Test. Proceddings of CLPsych 2019, Minneapolis, MN, USA (pdf)
• Anwar, S., Ustalov, D., Arefyev, N., Ponzetto, S.P., Biemann C. and Panchenko, A. (2019): HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. Proceedings of SemEval 2019, Minneapolis, MN, USA (pdf)
• Wiedemann, G., Ruppert, E. and Biemann, C. (2019): UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection. Proceedings of SemEval 2019, Minneapolis, MN, USA (pdf)
• Arefyev, N., Sheludko, B., Davletov, A., Kharchev, D., Nevidomsky, A., Panchenko, A. (2019): Neural GRANNy at SemEval 2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction. Proceedings of SemEval 2019, Minneapolis, MN, USA [Winner of Task 2 and selected for best of SemEval session] (pdf)
• Hussein, H., Meyer-Sickendiek, B., Baumann, T. (2019): How to identify elliptical poems within a digital corpus of auditory poetry. Proceedings of Elektronische Sprachsignalverarbeitung (ESSV), Dresden, Germany (link).
• Barteld, F., Biemann, C., Zinsmeister, H. (2019): Token-based spelling variant detection in Middle Low German texts. Lang. Resources & Evaluation, https://doi.org/10.1007/s10579-018-09441-5 (pdf)
• Schildwächter, M., Bondarenko, A., Zenker, J., Hagen, M., Biemann, C., Panchenko, A. (2019): Answering Comparative Questions: Better than Ten-Blue-Links? Proceedings of ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), Glasgow, Scotland, UK (pdf)

2018

• Bondarenko, A., Völske, M., Panchenko, A., Biemann, C., Stein, B., Hagen, M. (2018): Webis at TREC 2018: Common Core Track. In Ellen M. Voorhees and Angela Ellis, editors, 27th International Text Retrieval Conference (TREC 2018), NIST (pdf)
• Semmann, M., Grotherr, C., Vogel, P., Bittner, E. A. C., Biemann, C., Böhmann, T. (2018): Intelligent Collaboration of Humans and Language-Based Assistants (INSTANT). In: 39th International Conference on Information Systems (ICIS) - TREO Talks, San Francisco, USA (pdf)
• Remus, S., Hedeland, H., Ferger, A., Bührig, K. and Biemann, C. (2018): EXMARaLDA meets WebAnno, In CLARIN Annual Conference 2018. Pisa, Italy (pdf).
• Hofmann, M.J., Biemann, C., Westbury, C., Murusidze, M., Conrad, M., Jacobs, A.M. (2018): Simple Co‐Occurrence Statistics Reproducibly Predict Association Ratings. Cognitive science 42 (7), 2287-2312 (link)
• Wiedemann, G., Jindal, R. and Biemann, C. (2018): microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF, In Proceedings of the 14th Conference on Natural Language Processing (KONVENS 2018). Vienna, Austria (pdf).
• Barteld, F., Biemann, C., Zinsmeister, H. (2018): Variations on the theme of variation: Dealing with spelling variation for fine-grained POS tagging of historical texts. Proceedings of the 14th Conference on Natural Language Processing (KONVENS 2018), pp. 202-212. Vienna, Austria (pdf)
• Wiedemann, G., Ruppert, E., Jindal, R. and Biemann, C. (2018): Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter, In Proceedings of GermEval 2018, 14th Conference on Natural Language Processing (KONVENS 2018). Vienna, Austria (pdf).
• Wiedemann G., Yimam S.M., and Biemann C. (2018): A Multilingual Information Extraction Pipeline for Investigative Journalism, In Proceedings of 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). Brussels, Belgium (pdf).
• Yimam S. M., Biemann C. (2018): Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing. In Proceedings of 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). Brussels, Belgium (pdf).
• Wiedemann G.,  Yimam S.M., and Biemann C. (2018) : New/s/leak 2.0 – Multilingual Information Extraction and Visualization for Investigative Journalism.  In: Proceedings of the 10th International Conference on Social Informatics (SocInfo 2018). St.Petersburg, Russia (pdf)
• Johannßen, D. Biemann, C. (2018): Between The Lines: Machine Learning for Prediction of Psychological Traits - a Survey. In: Proceedings of CD-MAKE 2018. Hamburg, Germany (pdf).
• Ruppert, E., Hartung, D., Sittig, P., Gschwander, T., Rönneburg, L., Kiling, T., Biemann, C. (2018): LawStats – Large-scale German Court Decision Evaluation using Web Service Classifiers. In: Proceedings of CD-MAKE 2018. Hamburg, Germany (pdf).
• Yimam S. M., Biemann C. (2018): Par4Sim – Adaptive Paraphrasing for Text Simplification. In Proceedings of The 27th International Conference on Computational Linguistics (COLING 2018). Santa Fe, New-Mexico, USA (pdf).
• Milde, B. and Köhn, A. (2018). Open Source Automatic Speech Recognition for German. Proceedings of 13th ITG Conference on Speech Communication 2018, pages 251-255, Oldenburg, Germany. (pdf, code)
• Milde, B. and Biemann, C. (2018): Unspeech: Unsupervised Speech Context Embeddings. Proceedings of Interspeech 2018, Hyderabad, India. (pdf, website, code)
• Riedl, M. and Biemann, C. (2018): Using Semantics for Granularities of Tokenization. Computational Linguistics Vol. 44, No. 3, September 2018 (link)
• Ustalov, D., Panchenko, A., Kutuzov, A., Biemann, C., Ponzetto, S.P. (2018): Unsupervised Semantic Frame Induction using Triclustering. Proceedings of ACL 2018, Melbourne, Australia (pdf) (suppl-pdf)
• Yimam, S.M., Biemann, C., Malmasi, S., Paetzold, G.H., Specia, L., Štajner, S., Tack, A., Zampieri, M., (2018): A Report on the Complex Word Identification Shared Task 2018. Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, LA, USA (pdf)
• Elsafty, A., Riedl, M., Biemann, C. (2018): Document-based Recommender System for Job Postings using Dense Representations. Proceedings of NAACL industry track, New Orleans, LA, USA (pdf)
• Santus, E., Biemann, C., Chersoni, E. (2018): BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes. Proceedings of SemEval-2018, New Orleans, LA, USA (pdf)
• Cecchini, F.M., Riedl, M., Fersini, E., Biemann, C. (2018): A comparison of graph-based word sense induction clustering algorithms in a pseudoword evaluation framework. Language Resources and Evaluation (first online March 24, 2018), https://doi.org/10.1007/s10579-018-9415-1 (link)
• Roelke, A., Franke, N., Biemann, C., Radach, R., Jacobs, A.M., Hofmann, M.J. (2018): A novel co-occurrence-based approach to predict pure associative and semantic priming. Psychonomic Bulletin & Review, https://doi.org/10.3758/s13423-018-1453-6 (link)
• Wiedemann, G. (2018). Proportional Classification Revisited: Automatic Content Analysis of Political Manifestos Using Active Learning. Social Science Computer Review, DOI 10.1177/0894439318758389. (link)
• Panchenko, A., Ruppert, E., Faralli, S., Ponzetto, S.P., Biemann, C. (2018): Building a Web-Scale Dependency-Parsed Corpus from Common Crawl. Proceedings of LREC 2018, Myazaki, Japan. ELRA (pdf)
• Ustalov, D., Teslenko, D., Panchenko, A., Chernoskutov, M., Biemann, C., Ponzetto, S.P. (2018): An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages. Proceedings of LREC 2018, Myazaki, Japan (pdf)
• Faralli, S., Panchenko, A., Biemann, C., Ponzetto, S.P. (2018): Enriching Frame Representations with Distributionally Induced Senses. Proceedings of LREC 2018, Myazaki, Japan (pdf)
• Panchenko, A., Ustalov, D., Faralli, S., Ponzetto, S.P., Biemann, C. (2018): Improving Hypernymy Extraction with Distributional Semantic Classes. Proceedings of LREC 2018, Myazaki, Japan (pdf)
• Remus, S., Biemann, C. (2018): Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities. Proceedings of LREC 2018, Miyazaki, Japan (pdf,poster-pdf)
• Biemann, C., Faralli, S., Panchenko, A., Ponzetto, S.P. (2018): A framework for enriching lexical semantic resources with distributional semantics. Journal of Natural Language Engineering, published online Jan 15, 2018 (link)

2017

• Remus, S., Kaufmann, M.,  Ballweg, K.,  von Landesberger, T., and Biemann,C. (2017): Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management. Singapore, Singapore. pp. 2519-252. (preprint-pdf, poster-pdf, website)
• Wojatzki M., Ruppert E., Zesch T., Biemann C. (Editors) (2017): GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback. Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, September 12, 2017, Berlin, Germany. (pdf)
• Wojatzki M., Ruppert E., Holschneider S., Zesch T., Biemann C. (2017): GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback. In Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, pages 1--12, Berlin, Germany. (pdf)
• Holzinger, A., Biemann, C., Pattichis, C.S., Kell, D.B. (2017): What do we need to build explainable AI systems for the medical domain? arXiv:1712.09923 [cs.AI] (link)
• Ruppert E., Kumar A., Biemann C. (2017): LT-ABSA: An extensible open-source system for document-level and aspect-based sentiment analysis. In Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, pages 55–60, Berlin, Germany. (pdf)
• Yimam S.M, Štajner S., Riedl M., Biemann C. (2017): CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups. In Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017). Taipei, Taiwan (pdf) (to appear)
• Ustalov D., Chernoskutov M., Biemann C., Panchenko A. (2017): Fighting with the Sparsity of Synonymy Dictionaries. In Proceedings of the 6th Conference on Analysis of Images, Social Networks, and Texts (AIST'2017): Springer Lecture Notes in Computer Science (LNCS). Moscow, Russia (pdf)
• Riedl M., Biemann C. (2017): There's no `Count or Predict' but task-based selection for distributional models. In Proceedings of the 12th International Conference on Computational Semantics (IWCS). Montpellier, France (pdf)
• Yimam S.M, Štajner S., Riedl M., Biemann C. (2017): Multilingual and Cross-Lingual Complex Word Identification. In Proceedings of The 2017 International Conference on Recent Advances in Natural Language Processing (RANLP). Varna, Bulgaria (pdf)
• Yimam S.M., Remus S., Panchenko A., Holzinger A., Biemann C. (2017): Entity-Centric Information Access with the Human-in-the-Loop for the Biomedical Domains. Biomedical NLP Workshop associated with RANLP 2017. Varna, Bulgaria (pdf)
• Panchenko A., Fide M., Ruppert E., Faralli S., Ustalov D., Ponzetto S.P., Biemann C. (2017): Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. In Proceedings of the the Conference on Empirical Methods on Natural Language Processing (EMNLP). Copenhagen, Denmark. Association for Computational Linguistics (pdf)
• Ustalov D., Panchenko A., Biemann C. (2017): Watset: Automatic Induction of Synsets from a Graph of Synonyms. In Proceedings of the 55th Meeting of the Association for Computational Linguistics (ACL'2017). Vancouver, Canada. (pdf)
• Hofmann, M.J., Biemann, C., Remus, S. (2017): Benchmarking n-grams, Topic Models and Recurrent Neural Networks by Cloze Completions, EEGs and Eye Movements, In (Eds: B. Sharp, F. Sèdes and W. Lubaszewski): Cognitive Approach to Natural Language Processing, Pages 197-215. ISTE Press, Elsevier (link)
• Müller, M., Ballweg, K. von Landesberger, T., Yimam, S.M., Fahrer, U., Biemann, C., Rosenbach, M., Regneri, M., Ulrich, H. (2017). Guidance for Multi-Type Entity Graphs from Text Collections. EuroVis Workshop on Visual Analytics 2017, Barcelona, Spain (pdf)
• Kumar, A., Sethi, A., Akhtara, M. S., Ekbal, A., Biemann, C., Bhattacharyya, P. (2017): IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), Vancouver, Canada (pdf)
• Nandi, T., Biemann, C., Yimam, S.M., Gupta, Deepak., Kohail, S., Ekbal, A., Bhattacharyya, P. (2017): IT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification, In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), Vancouver, Canada (pdf).
• Kohail S., Salama, A., Biemann, C. (2017): STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble, In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), Vancouver, Canada (pdf)
• Akhtar, M.S., Kohail S., Kumar, A., Ekbal, A., Biemann, C. (2017): Feature Selection using Multiobjective Optimization for Aspect based Sentiment Analysis (NLDB 2017), Liège, Belgium (pdf)
• Kohail, S. and Biemann, C. (2017): Matching, Re-ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features (CICLING 2017), Budapest, Hungary (pdf)
• Kolachina, P., Riedl, M., Biemann, C. (2017): Replacing OOV Words For Dependency Parsing With Distributional Semantics. Proceedings of NODALIDA 2017, Gothenburg, Sweden (pdf)
• Cecchini, F.M., Riedl, M., Biemann, C. (2017): Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction. Proceedings of NODALIDA 2017, Gothenburg, Sweden (pdf)
• Ustalov, D., Arefyev, N., Biemann, C. and Panchenko, A. (2017): Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. Proceedings of EACL 2017 (short papers), Valencia, Spain (pdf,poster)
• Panchenko A., Faralli S., Ponzetto S. P., and Biemann C. (2017): Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation. In Proceedings of the Workshop on Sense, Concept and Entity Representations and their Applications (SENSE) co-located with the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL'2017). Valencia, Spain. Association for Computational Linguistics (pdf)
• Panchenko, A., Ruppert, E., Faralli, S., Ponzetto, S. P. and Biemann, C. (2017): Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. Proceedings of EACL 2017 (main), Valencia, Spain. (pdf)
• Faralli, S., Panchenko, A., Biemann, C. and Ponzetto, S. P. (2017): The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links. Proceedings of EACL 2017 (main), Valencia, Spain. (pdf)
• Barteld, F. (2017): Detecting spelling variants in non-standard texts. Proceedings of EACL 2017 Student Research Workshop, Valencia, Spain.
• Biemann, C., Bontcheva, K., Eckart de Castilho, R., Gurevych, I., Yimam, S.M. (2017): Collaborative Web-based Tools for Multi-layer Text Annotation. In: N. Ide and J. Pustejovsky (Eds.): Handbook of Linguistic Annotation, Springer (preprint pdf)

2016

• Riedl, M. (2016): Unsupervised Methods for Learning and Using Semantics of Natural Language.
  Technische Universität, Darmstadt, [Ph.D. Thesis] (link)
• Biemann, C. (2016): Vectors or Graphs? On Differences of Representations for Distributional Semantic Models. Proceedings of the COLING Workshop Cognitive Aspects of the Lexicon (CogALex-V), Osaka, Japan (pdf)
• Zock, M. and Biemann, C. (2016): Towards a resource based on users' knowledge to overcome the Tip-of-the-Tongue problem. Proceedings of the COLING Workshop Cognitive Aspects of the Lexicon (CogALex-V), Osaka, Japan (pdf)
• Eckart de Castilho, R. Mújdricza-Maydt, E., Yimam, S.M., Hartmann, S., Gurevych, I., Frank, A. and Biemann, C. (2016): A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures. Proceedings of the COLING workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH), Osaka, Japan (pdf)
• Biemann, C., Krumov, L., Roos, S., Weihe, K. (2016): Network Motifs Are a Powerful Tool for Semantic Distinction. In: Mehler, A., Lücking, A., Banisch, S., Blanchard, P., Job, B. (Eds.): Towards a Theoretical Framework for Analyzing Complex Linguistic Networks, Springer Heidelberg New York Dordrecht London (link)
• Friedrich, A. and Biemann, C. (2016): Digitale Begriffsgeschichte? Methodologische Überlegungen und exemplarische Versuche am Beispiel moderner Netzsemantik, in: Forum Interdisziplinäre Begriffsgeschichte 5(2) (in press) (preprint pdf)
• Yimam, S.M., Biemann, C., Majnaric, L., Šabanović, Š., Holzinger, A. (2016): An adaptive annotation approach for biomedical entity and relation recognition. Brain Informatics, (online first), 10.1007/s40708-016-0036-4 (pdf)
• Faralli, S., Panchenko, A., Biemann, C. and Ponzetto, S.P. (2016): Linked Disambiguated Distributional Semantic Networks. Proceedings of the 15th International Semantic Web conference (ISWC) Resources Track, pp 56-64, Kobe, Japan (pdf)
• Milde, B., Wacker, J., Radomski, S., Mühlhäuser, M. and  Biemann. C. (2016): Ambient Search: A Document Retrieval System for Speech Streams. Proceedings of COLING 2016, Osaka, Japan (pdf)
• Milde, B., Wacker, J., Radomski, S., Mühlhäuser, M. and  Biemann. C. (2016): Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams. Proceedings of  COLING 2016 (system demonstrations), Osaka, Japan (pdf)
• Panchenko A., Simon J., Riedl M., Biemann C. (2016).  Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics. In Proceedings of the 13th Conference on Natural Language Processing (KONVENS). Bochum, Germany (pdf)
• Panchenko, A. (2016): Best of Both Worlds: Making Word Sense Embeddings Interpretable. In Proceedings Tenth International Conference on Language Resources and Evaluation (LREC 2016), Protorož, Slovenia (link)
• Riedl M., Feuerbach T., Biemann C. (2016): Running into Brick Walls Attempting to Improve a Simple Unsupervised Parser, In: Proceedings of the Conference on Natural Language Processing (KONVENS 2016), Bochum, Germany (pdf)
• Hintz, G. and Biemann, C. (2016): Language Transfer Learning for Supervised Lexical Substitution. ACL 2016 Main Session (full papers), Berlin, Germany (pdf)
• Yimam, S.M., Ulrich, H., von Landesberger, T., Rosenbach, M., Regneri, M., Panchenko, A., Lehmann, F., Fahrer, U., Biemann, C. and Ballweg, K. (2016): new/s/leak – Information Extraction and Visualization for an Investigative Data Journalists. ACL 2016 Demo Session, Berlin, Germany (pdf)
• Riedl M., Biemann C. (2016): Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods, In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2016), San Diego, CA, USA, (pdf)
• Remus, S., Biemann C. (2016): Domain-Specific Corpus Expansion with Focused Webcrawling. In Proceedings Tenth International Conference on Language Resources and Evaluation (LREC 2016), Protorož, Slovenia (pdf)
• Benikova, D., Biemann, C. (2016): SemRelData -- Multilingual Contextual Annotation of Semantic Relations between Nominals: Dataset and Guidelines. In Proceedings Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia (pdf)
• Panchenko A., Ustalov D., Arefyev N., Paperno D. Konstantinova N., Loukachevitch N. and Biemann C. (2016): Human and Machine Judgements about Russian Semantic Relatedness. In Proceedings of the 5th Conference on Analysis of Images, Social Networks and Texts (AIST'2016). Yekaterinburg, Russia. Communications in Computer and Information Science (CCIS). Springler-Verlag Berlin Heidelberg (pdf) [best presentation award]
• Ballweg K., Zouhar F., Wilhelmi-Dworski P., von Landesberger T., Fahrer U., Panchenko A., Yimam S.M. Biemann C., Regneri M., Ulrich H. (2016) new/s/leak – A Tool for Visual Exploration of Large Text Document Collections in the Journalistic Domain. Workshop on Visualization in Practice as part of IEEE VIS Conference, Baltimore, MD, USA, (pdf)
• Pelevina M., Arefyev N., Biemann C., Panchenko A. (2016) Making Sense of Word Embeddings. In Proceedings of the 1st Workshop on Representation Learning for NLP, Association for Computational Linguistics (ACL). Berlin, Germany (pdf)
• Remus, S., Hintz, G., Biemann, C., Meyer, C.M., Benikova, D., Eckle-Kohler, J., Mieskes, M. and Arnold, T. (2016): EmpiriST: AIPHES - Robust Tokenization and POS-Tagging for Different Genres, 10th Web as Corpus workshop (WAC-X) co-located with ACL 2016, Berlin, Germany (pdf)
• Riedl, M. and Biemann, C. (2016): Impact of MWE Resources on Multiword Recognition. The 12th Workshop on Multiword Expressions (MWE 2016), co-located with ACL 2016, Berlin, Germany (pdf)
• Yimam, S.M., Martínez Alonso, H., Riedl M. and Biemann, C. (2016): Learning Paraphrasing for Multiword Expressions. The 12th Workshop on Multiword Expressions (MWE 2016), co-located with ACL 2016, Berlin, Germany (pdf)
• Kumar, A., Kohail, S., Kumar, A., Ekbal, A., Biemann, C. (2016): IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis, In Proceedings of the 10th International Workshop on Semantic Evaluation, San Diego, CA, USA (pdf)
• Panchenko A., Faralli S., Ruppert E., Remus S., Naets H., Fairon C. Ponzetto S. P.,  and Biemann, C. (2016): TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns,  Substrings and Focused Crawling. In Proceedings of the 10th International Workshop on Semantic Evaluation, San Diego, CA, USA, 2016 (pdf) 
• Schnelle-Walka D., Radomski S., Milde B., Biemann C., Mühlhäuser M. (2016) NLU vs. Dialog Management: To Whom am I Speaking?, Joint Workshop on Smart Connected and Wearable Things (SCWT'2016), co-located with IUI, Sonoma, CA, USA (pdf)

2015

• Biemann, C., Handschuh, S., Freitas, A., Meziane, F., Métais, E. (Eds.) (2015): Natural Language Processing and Information Systems. Proceedings of the 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, LNCS 9103, Springer Heidelberg Dordrecht London New York (link)
• Biemann, C. (2015): Book Review: Ontology-Based Interpretation of Natural Language, by Philipp Cimiano, Christina Unger, and John McCrae. Computational Linguistics 41(2). link
• Mitra, S., Mitra, R., Maity, S., Riedl, M., Biemann, C., Goyal, P., Mukherjee, A., (2015): An automatic approach to identify word sense changes in text media across timescale,  Natural Language Engineering, Special issue on Graph Methods for NLP, DOI: http://dx.doi.org/10.1017/S135132491500011X, pdf, 26 pages. Published online: 16 April 2015; 21(05):773-798
• Kumar, A., Kohail, S., Ekbal, A., Biemann C. (2015): IIT-TUDA: System for Sentiment Analysis in Indian Languages using Lexical Acquisition. In: Third International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2015). Hyderabad, India (pdf)
• Riedl M., Biemann C. (2015): A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015). Lisboa, Portugal (pdf)
• Kohail, S. (2015): Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis (RANLP 2015). Hissar, Bulgaria (pdf)
• Yimam, S.M., Biemann, C., Majnaric, L., Šabanović, Š., Holzinger, A. (2015): Interactive and Iterative Annotation for Biomedical Entity Recognition, International Conference on Brain Informatics and Health (BIH’15), London, UK (pdf)
• Feuerbach, T., Riedl, M., Biemann, C. (2015): Distributional Semantics for Resolving Bridging Mentions. Proceedings of RANLP-15, Hissar, Bulgaria (pdf)
• Benikova, D., Yimam, S.M., Santhanam, P., Biemann C. (2015). GermaNER: Free Open German Named Entity Recognition  Tool. In: Proceedings of the GSCL 2015. Essen, Germany (pdf)
• Ruppert, E., Klesy, J., Riedl, M., Biemann, C. (2015). Rule-based Dependency Parse Collapsing and Propagation for German and English. In: Proceedings of the GSCL 2015. Essen, Germany (pdf)
• Milde, B., Biemann, C., (2015): Using Representation Learning and Out-of-domain Data for a Paralinguistic Speech Task. Proceedings of INTERSPEECH. Dresden, Germany (pdf)
• Radeck-Arneth, S., Milde, B., Lange, A., Gouvea, E., Radomski, S., Mühlhäuser, M., Biemann, C. (2015): Open-Source German Distant Speech Recognition: Corpus and Acoustic Model. In: Text, Speech and Dialogue. Proceedings of the 18th International Conference TSD2015, Plzen, Czech Republic (pdf)
• Ruppert, E., Kaufmann M., Riedl M., Biemann C. (2015): JOBIMVIZ: A Web-based Visualization for Graph-based Distributional Semantic Models. In the Annual Meeting of the Association for Computational Linguistics (ACL) System Demonstrations, Beijing, China (pdf)
• Levy, O., Remus, S., Biemann, C., Dagan, I. (2015): Do Supervised Distributional Methods Really Learn Lexical Inference Relations? Proceedings of NAACL-2015 (short papers), Denver, CO, USA (pdf)
• Yimam, S.M. (2015): Narrowing the Loop: Integration of Resources and Linguistic Dataset Development with Interactive Machine Learning. NAACL 2015 Student Research Workshop, p. 88-95, Denver, CO, USA (pdf)
• Hintz, G., Biemann, C. (2015): Delexicalized Supervised German Lexical Substitution. Proceedings of GermEval 2015: LexSub, pp. 11-16. Essen, Germany (pdf)
• Biemann, C., Remus, S., Hofmann, M.J. (2015): Predicting word ’predictability’ in cloze completion, electroencephalographic and eye movement data. Proceedings of the 12th International Workshop on Natural Language Processing and Cognitive Science, Krakow, Poland (pdf)

2014

• Biemann, C., Mehler, A. Editors (2014): Text Mining - From Ontology Learning to Automated Text Processing Applications. Festschrift in Honor of Gerhard Heyer. In J. Hirschberg, E. Hovy and M. Johnson (Series Eds.): Theory and Applications of Natural Language Processing, Springer Heidelberg Dordrecht London New York (link)
• Biemann, C. Crane, G.R., Fellbaum, C.D., Mehler, A. (Eds) (2014): Report from Dagstuhl Seminar 14301: Computational Humanities – Bridging the Gap Between Computer Science and Digital Humanities. Dagstuhl Reports, Volume 4, Issue 7, pp.80-111, doi: 10.4230/DagRep.4.7.80 (pdf)
• Kochtchi, A., von Landesberger, T., Biemann, C. (2014): Networks of Names: Visual Exploration and Semi-Automatic Tagging of Social Networks from Newspaper Articles. Eurographics Conference on Visualization (EuroVis) 2014 and Computer Graphics Forum 33(3):211-220 (pdf)
• Govind, Ekbal, A., Biemann, C. (2014): Multiobjective Optimization and Unsupervised Lexical Acquisition for Named Entity Recognition and Classification. Proceedings the 11th International Conference on Natural Language Processing (ICON), Goa, India (pdf)
• Nam J., Kirschner, C., Erbs, N., Oelke, D., Remus, S., Neumann, S., Ma, Z., Eckle-Kohler, J., Gurevych, I., Rittberger, M., Biemann, C., Fürnkranz J., Weihe, K. (2014): Knowledge Discovery in Scientific Literature. Proceedings of KONVENS 2014, Hildesheim, Germany
• Riedl, M., Alles, I., Biemann, C. (2014): Combining Supervised and Unsupervised Parsing for Distributional Similarity. In Proceedings of COLING 2014. Dublin, Ireland (pdf,slides)
• Mitra, S., Mitra, R., Riedl, M., Biemann, C., Mukherjee, A., Goyal, P. (2014): That’s sick dude!: Automatic identification of word sense change across different timescales. Proceedings of ACL 2014, Baltimore, MD, USA (pdf)
• Yimam, S.M., Eckart de Castilho, R., Gurevych, I., Biemann C. (2014): Automatic Annotation Suggestions and Custom Annotation Layers in WebAnno. Proceedings of ACL 2014 System Demonstrations, Baltimore, MD, USA (pdf)
• Benikova, D., Biemann, C., and Reznicek, M. (2014): NoSta-D Named Entity Annotation for German: Guidelines and Dataset. Proceedings Fourth International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, Iceland. (pdf) (shared task)
• Cholakov, K., Biemann, C.,  Eckle-Kohler, J., and Gurevych, I. (2014): Lexical Substitution Dataset for German. Proceedings Fourth International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, Iceland. (pdf)
• Riedl M., Steuer R., Biemann C. (2014): Distributed Distributional Similarities of Google Books over Centuries. Proceedings Fourth International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, Iceland. (pdf, resources)
• Eckart de Castilho, R., Biemann, C., Gurevych, I., Yimam, S.M. (2014): WebAnno: a flexible, web-based annotation tool for CLARIN. CLARIN Annual Conference 2014, Soesterberg, The Netherlands (pdf)
• Benikova, D., Biemann, C., Kisselew, M., Padó, S. (2014): GermEval 2014 Named Entity Recognition Shared Task: Companion Paper. KONVENS 2014 Workshop proceedings: GermEval, pp. 104-112, Hildesheim, Germany (pdf)
• Benikova, D., Fahrer, U., Gabriel, A., Kaufmann, M., Yimam, S.M., von Landesberger, T., Biemann, C. (2014): Network of the Day: Aggregating and Visualizing Entity Networks from Online Sources. KONVENS 2014 Workshop proceedings: NLP4CMC, pp. 48-52, Hildesheim, Germany (pdf)
• Radeck-Arneth, S., Biemann, C., Schnelle-Walka, D. (2014): Towards Ambient Search. Proccedings of LWA 2014, Aachen, Germany (pdf)
• Biemann, C. (2014): Design Principles for Transparent Software in Computational Humanities. In Report from Dagstuhl Seminar 14301: Computational Humanities - bridging the gap between Computer Science and Digital Humanities. Leibniz-Zentrum fur Informatik, Dagstuhl Publishing, Germany (pdf)
• Schnelle-Walka, D., Radeck-Arneth, S., Biemann, C., Radomski, S. (2014): An Open Source Corpus and Recording Software for Distant Speech Recognition with the Microsoft Kinect. In: Proceedings der 11. ITG Fachtagung Sprachkommunikation, Erlangen, Germany (pdf)
• Goldhahn, D., Remus, S., Quasthoff, U., Biemann, C. (2014): Top-Level Domain Crawling for Producing Comprehensive Monolingual Corpora from the Web. Proceedings of the LREC-14 workshop on Challenges in the management of large corpora. Reykjavik, Iceland (pdf)

2013

• Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Xavier Parreira, J., Aroyo, L., Noy, N., Welty, C., Janowicz, K., Editors (2013): The Semantic Web – ISWC 2013. 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part I, Lecture Notes in Computer Science, Volume 8218, Springer. ISBN: 978-3-642-41334-6 (Print)   http://dx.doi.org/10.1007/978-3-642-41335-3 (Online)
• Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Xavier Parreira, J., Aroyo, L., Noy, N., Welty, C., Janowicz, K., Editors (2013): The Semantic Web – ISWC 2013. 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part II, Lecture Notes in Computer Science, Volume 8219, Springer. ISBN 978-3-642-41337-7 (Print) http://dx.doi.org/10.1007/978-3-642-41338-4 (Online)
• Gurevych, I., Biemann, C., Zesch, T., Editors (2013): Language Processing and Knowledge in the Web. Proceedings of GSCL 2013: The bi-annual meeting of the German Society for Computational Linguistics and Language Technology. Lecture Notes in Computer Science, Volume 8105. (Online)
• Biemann, C., Bildhauer, F., Evert, S., Goldhahn, D., Quasthoff, U., Schäfer, R., Simon, J., Swiezinski, L., Zesch, T. (2013): Scalable Construction of High-Quality Web Corpora. Journal for Language Technology and Computational Linguistics (JLCL), 28(2):23-59 (pdf)
• Juska-Bacher, B., Biemann, C., Quasthoff, U. (2013): Webbasierte linguistische Forschung: Möglichkeiten und Begrenzungen beim Umgang mit Massendaten. Linguistik Online 61(4), ISSN 1615-3014 (pdf)
• Biemann, C., Riedl, M. (2013): Text: Now in 2D! A Framework for  Lexical Expansion with Contextual Similarity. Journal of Language Modelling 1(1):55--95 (pdf)
• Riedl M., Biemann C. (2013): Scaling to Large^3 Data: An efficient and effective method to compute Distributional Thesauri. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), Seattle, USA (pdf)
• Yimam, S.M., Gurevych, I., Eckart de Castilho, R., and Biemann C. (2013): WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations. Proceedings of ACL-2013, demo session, Sofia, Bulgaria (pdf)
• Remus, S., and Biemann, C. (2013): Three Knowledge-Free Methods for Automatic Lexical Chain Extraction. Proceedings of NAACL-2013, Atlanta, GA, USA (pdf)
• Szarvas, G., Biemann, C., and Gurevych, G. (2013): Supervised All-Words Lexical Substitution using Delexicalized Features. Proceedings of NAACL-2013, Atlanta, GA, USA (pdf)
• Gliozzo A., Biemann C, Riedl M., Coppola B., Glass M. R., Hatem M. (2013): JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity. Proceedings of the 8th Workshop on TextGraphs in conjunction with EMNLP 2013, Seattle, WA, USA (pdf)
• Biemann C., Riedl M (2013): From Global to Local Similarities: A Graph-Based Contextualization Method using Distributional Thesauri. Proceedings of the 8th Workshop on TextGraphs in conjunction with EMNLP 2013, Seattle, WA, USA (pdf)
• Korkontzelos, I., Zesch, T., Zanzotto, F.M., Biemann, C. (2013): SemEval-2013 Task 5: Evaluating Phrasal Semantics. Proceedings of SemEval 2013, Atlanta, GA, USA (pdf)
• Rauscher, J., Swiezinski, L., Riedl, M., Biemann, C. (2013): Exploring Cities in Crime: Significant Concordance and Co-occurrence in Quantitative Literary Analysis. Proceedings of the Computational Linguistics for Literature Workshop at NAACL-HLT 2013, Atlanta, GA, USA (pdf)

2012

• Abend, O., Biemann, C., Korhonen, A., Rappoport, A., Reichart, R., Søgaard, A., Editors (2012): Proceedings of ROBUS-UNSUP 2012: Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP, Avignon, France, Association for Computational Linguistics
• Biemann, C. (2012): Book Review: Graph-based Natural Language Processing and Information Retrieval, by Rada Mihalcea and Dragomir Radev. Computational Linguistics 38(1). link
• Riedl, M., Biemann, C. (2012): Text Segmentation with Topic Models. Journal for Language Technology and Computational Linguistics (JLCL), Vol. 27, No. 1, pp. 47--70, August 2012 (pdf)
• Biemann, C. (2012): Creating a system for lexical substitutions from scratch
  using crowdsourcing. Lang. Resources & Evaluation Vol. 47, No. 1, pp. 97--112. Springer. DOI 10.1007/s10579-012-9180-5 (springerlink)
• Biemann, C., Roos, S., and Weihe, K. (2012): Quantifying Semantics Using Complex Network Analysis. Proceedings of COLING‐12, Mumbai  India (pdf) (link to Motif counting software)
• Miller, T., Biemann, C., Zesch, T., Gurevych, I. (2012): Using Distributional Similarity for Lexical Expansion 
  in Knowledge‐based Word Sense Disambiguation. Proceedings of COLING‐12, Mumbai, India (pdf)
• Biemann, C. (2012). Turk Bootstrap Word Sense Inventory 2.0:  A Large-Scale Resource for Lexical Substitution. Proceedings of LREC 2012, Istanbul, Turkey (pdf) (poster)
• Riedl M., Biemann C. (2012): How Text Segmentation Algorithms Gain from Topic Models, Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2012), Montreal, Canada. (pdf)
• Bär, D., Biemann, C., Gurevych, I., Zesch, T. (2012): UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures (Best Participating System) In: Proceedings of the 6th Int'l Workshop on Semantic Evaluation, in conjunction with the 1st Joint Conf. on Lexical and Computational Semantics, June 2012, Montreal, Canada (pdf)
• Riedl M., Biemann C. (2012): TopicTiling: A Text Segmentation Algorithm based on LDA, Proceedings of the Student Research Workshop of the 50th Meeting of the Association for Computational Linguistics, Jeju, Republic of Korea. (pdf)
• Riedl M., Biemann C. (2012): Sweeping through the Topic Space: Bad luck? Roll again! In Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP held in conjunction with EACL 2012, Avignon, France (pdf)

2011

• Biemann, C. (2011): Structure Discovery in Natural Language. In G. Hirst, E. Hovy and M. Johnson (Series Eds.): Theory and Applications of Natural Language Processing, Springer Heidelberg Dordrecht London New York (eBook link)
• Biemann, C., Søgaard A., Editors (2011): Proceedings of Workshop on Robust Unsupervised and Semisupervised Methods in Natural Language Processing (at RANLP 2011), Hissar, Bulgaria
• Biemann, C., Giesbrecht, E.  Editors (2011): Proceedings of the Workshop and Shared Task on Distributional Semantics and Compositionality DISCo-11, Portland, OR, USA, Association for Computational Linguistics (pdf) (slides)
• Hofmann, M.J., Kuchinke, L., Biemann, C., Tamm, S. and Jacobs, A.M. (2011): Remembering words in context as predicted by an Associative Read-Out Model. Frontiers in Psychology, Vol. 2, 2011 (paper link)

Link to Publications at TU Darmstadt