Publications

• Biemann, C., Heyer, G., Quasthoff, U. (2022): Wissensrohstoff Text. Eine Einführung in das Text Mining. Springer Vieweg (link) (glossary pdf)
• 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. (2007): Unsupervised and Knowledge-Free Natural Language Processing in the Structure Discovery Paradigm. PhD Thesis, University of Leipzig. Submitted 07.07.007, Accepted 19.11.2007 (pdf) 
• Biemann, C. (2002): Extraktion semantischer Relationen aus natürlichsprachlichem Text mit Hilfe von maschinellem Lernen, Diplomarbeit (Master’s Thesis), University of Leipzig, September 2002 (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)
• Wojatzki M., Ruppert E., Zesch T., Biemann C. (Eds.) (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, Berlin, Germany, September 12, 2017. (pdf)
• 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., 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)
• 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)   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) 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)
• 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 Linguisics
• 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 Linguisics
• Matveeva, I., Biemann, C., Choudhury, M., Diab, M., Editors (2008): Proceedings of the 3rd Textgraphs workshop on Graph-based Algorithms for Natural Language Processing, Manchester, UK, Association for Computational Linguistics
• Biemann, C., Seretan, V., Riloff, E., Editors (2007): ACL-2007 Student Research Workshop, Prague, Czech Republic, Association for Computational Linguistics
• Biemann, C., Matveeva, I., Mihalcea, R., Radev, D. , Editors (2007): TextGraphs-2: Graph-Based Algorithms for Natural Language Processing, Rochester, NY, USA, Association for Computational Linguistics
• Biemann, C., Paaß, G., Editors (2005): Proceedings of ICML-05 Workshop: Learning and Extending Lexical Ontologies by using Machine Learning Methods, Bonn, Germany

• 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)
• Biemann, C. (2016): De Saussure's influence on how computers understand meaning. Pull-out Feature, Babel - The Language Magazine (16), August 2016. 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
• Biemann, C. (2012): Book Review: Graph-based Natural Language Processing and Information Retrieval, by Rada Mihalcea and Dragomir Radev. Computational Linguistics 38(1). link

• 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)
• 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)
• 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)
• Biemann, C., Quasthoff, U. (2009): Networks Generated From Natural Language Text. In N. Ganguly, A. Deutsch, and A. Mukherjee (Eds): Dynamics On and Of Complex Networks: Applications to Biology, Computer Science, Economics, and the Social Sciences, Birkenhäuser, Boston
• Biemann, C. (2008): Unsupervised and Knowledge-free Natural Language Processing in the Structure Discovery Paradigm. In: Dorothea Wagner et al. (Hrsg.). Ausgezeichnete Informatikdissertationen 2007. GI-Edition - Lecture Notes in Informatics (LNI), D-8, Bonner Köllen Verlag 2008
• Biemann, C.: Bootstrapping. In G. Heyer, U. Quasthoff, T. Wittig (Eds.): Wissensrohstoff Text, Bochum, w3L
• Biemann, C., Heyer, G.: Aufbau einer Wissenslandkarte. In G. Heyer, U. Quasthoff, T. Wittig (Eds.): Wissensrohstoff Text, Bochum, w3L
• Biemann, C., Hidden Markov Modelle. In G. Heyer, U. Quasthoff, T. Wittig (Eds.): Wissensrohstoff Text, Bochum, w3L
• Biemann, C.: Tagging – als Anwendung HMM. In G. Heyer, U. Quasthoff, T. Wittig (Eds.): Wissensrohstoff Text, Bochum, w3L
• Biemann, C.: Kookkurrenzen höherer Ordnung. In G. Heyer, U. Quasthoff, T. Wittig (Eds.): Wissensrohstoff Text, Bochum, w3L
• Biemann, C., Heyer, G.: Netze von Kookkurrenzen. In G. Heyer, U. Quasthoff, T. Wittig (Eds.): Wissensrohstoff Text, Bochum, w3L

• Hatzel, H,. Stiemer, H., Biemann, C. and Gius, E. (2023): Machine learning in computational literary studies. it - Information Technology. https://doi.org/10.1515/itit-2023-0041 (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)
• 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)
• 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)
• 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)
• 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)
• 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 21(4):67, pp 1–21 (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)
• Bondarenko, A., Panchenko, A., Beloucif, M. Biemann, C., Hagen, M.(2020) Answering Comparative Questions with Arguments. Datenbank Spektrum (2020) 20:155–160. (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)
• 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)
• 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)
• 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)
• Riedl, M., Biemann, C. (2018): Using Semantics for Granularities of Tokenization. Computational Linguistics Vol. 44, No. 3, September 2018 (link)
• 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)
• 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)
• Friedrich, A. and Biemann, C. (2016): Digitale Begriffsgeschichte? Methodologische Überlegungen und exemplarische Versuche am Beispiel moderner Netzsemantik, in: Forum Interdisziplinäre Begriffsgeschichte 5(2):78-96 (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)
• 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, 26 pages. Published online: 16 April 2015; 21(05):773-798
• 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)
• 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. (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)
• Hofmann, M.J., Kuchinke, L., Biemann, C., Tamm, S., Jacobs, A.M. (2011): Remembering words in context as predicted by an Associative Read-Out Model. Frontiers in Psychology, Vol. 2, 2011 [paper llink]
• Biemann, C. (2009): Unsupervised Part-of-Speech Tagging in the Large. Research on Language and Computation: Volume 7, Issue 2-4 (2009), pp. 101-135. (SpringerLink) (pdf)
• Cysouw, M., Biemann, C., Ongyerth, M. (2007): Using strong’s numbers in the bible to test an automatic alignment of parallel texts. In: Michael Cysouw and Bernhard Wälchli (eds.) Parallel Texts: Using translational equivalents in linguistic typology. Special issue of Sprachtypologie und Universalienforschung (STUF), pp.66-79. (pdf)
• Biemann, C.: Ontology Learning from Text - a Survey of Methods. LDV-Forum 20(2):75-93, 2005 (pdf ) (ps)
• Melz, R., Biemann, C., Böhm, K., Heyer, G., Schmidt, F. (2005): Mapping speech streams to conceptual structures. Archives of Control Sciences 15(3):351-362, 2005 (pdf)
• Biemann, C., Quasthoff, U., Böhm, K., Wolff, C. (2003): Automatic discovery and Aggregation of Compound Names for the Use in Knowledge Representations, Journal of Universal Computer Science (JUCS), Volume 9, Number 6, pp. 530-541, June 2003 (pdf ) (ppt)

• Hatzel, H. and Biemann, C. (2024): Story Embeddings — Narrative-Focused Representations of Fictional Stories. EMNLP 2024, Miami, Florida, USA. (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)
• Schneider, F., Biemann, C. (2024): WISMIR3: A Multi-Modal Dataset to Challenge Text-Image Retrieval Approaches. 3rd Workshop on Advances in Language and Vision Research (ALVR), Bangkok, Thailand. Association for Computational Linguistics (ACL). (pdf tba)
• 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)
• 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)
• 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)
• Hatzel, H. and Biemann, C. (2024): Tell me again! A Large-Scale Dataset of Multiple Summaries for the Same Story. (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. (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., Petersen-Frey, F., Fischer, T., Biemann, C. (2023): Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity. European Conference on Artificial Intelligence 2023, Kraków, Poland (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, Kraków, Poland (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)
• 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)
• 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), pp. 1-15, Yerevan, Armenia (pdf)
• Banerjee D., Arefa, Usbeck R., Biemann C. (2023): DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph. 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. Recent advances in natural language processing (RANLP), Varna, Bulgaria (pdf)
  Ayele A.A., Dinter S., Yimam S.M. and Biemann C. (2023): Multilingual Racial Hate Speech Detection Using Transfer Learning. Recent advances in natural language processing (RANLP), Varna, Bulgaria (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 (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)
• 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, Research Track, Hersonissos, Greece (ESWC 2023) (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)
• 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)
• Ayele A.A., Belay T.D., Asfaw, T.T., Dinter S., Yimam S. M. , Biemann C.(2022): 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)
• 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).
• 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)
• 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)
• 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).
• Banerjee, D., Nair, P. A., Kaur, J. N., Usbeck, R., Biemann, C., 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, 5 pages. (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, 5 pages. (link)
• Petersen-Frey, F., Soll, M., Kobras, L., Johannsen, M., Kling, P., Biemann, C. Dataset of Student Solutions to Algorithm and Data Structure Programming Assignments, In Proceedings of the 2022 Language Resource and Evaluation Conference (LREC), 2022. (pdf)
• Wang, X.*, Schneider, F.*, Alacam, Ö., Chaudhury, P., Biemann, C. MOTIF: Contextualized Images for Complex Words to Improve Human Reading, In Proceedings of the 2022 Language Resource and Evaluation Conference (LREC), 2022. (pdf)
• 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)
• 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)
• 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)
• 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)
• 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)
• Schröder, F., Hatzel, H., Biemann, C. (2021): Neural End-to-end Coreference Resolution for German in Different Domains, Proceedings of KONVENS, Düsseldorf, Germany (pdf)
• 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)
• 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)
• 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)
• 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)
• Milde, B., Biemann, C. (2020): Improving Unsupervised Sparsespeech Acoustic Modelswith Categorical Reparameterization. Proceedings of INTERSPEECH 2020, Shanghai, China (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)
• 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)
• 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., 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)
• 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).
• 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., Biemann, C. (2019): SparseSpeech: Unsupervised Acoustic Unit Discovery with Memory-Augmented Sequence Autoencoders. Proceedings of Interspeech 2019, Graz, Austria (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)
• 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)
• Fischer, T., Remus, S., 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., Biemann, C. (2019): Learning Graph Embeddings from WordNet-based Similarity Measures. Proceedings of *SEM, Minneapolis, MN, USA (pdf)
• Schildwächter, M., Bondarenko, A., Zenker, J., Hagen, M., Biemann, C., Panchenko, A. (2019): Answering Comparative Qestions: Better than Ten-Blue-Links? Proceedings of ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), Glasgow, Scotland, UK (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
• Remus, S., Hedeland, H., Ferger, A., Bührig, K. and Biemann, C. (2018): EXMARaLDA meets WebAnno, In CLARIN Annual Conference 2018. Pisa, Italy (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)
• Wiedemann, G., Jindal, R., 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., Yimam, S.M., 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., 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., Biemann, C. (2018): Unspeech: Unsupervised Speech Context Embeddings. Proceedings of Interspeech 2018, Hyderabad, India. (pdf, website, code)
• 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)
• 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)
• 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 (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, Myazaki, Japan (pdf)
• 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, website)
• 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 apear)
• 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 Martin, 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)
• 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)
• Akhtar, MS., Kohail S., Kumar, A., Ekbal, A., Biemann, C. (2017): Feature Selection using Multi-objective Optimization for Aspect based Sentiment Analysis (NLDB 2017), Liège, Belgium (pdf)
• Kohail, S., 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., 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, Valencia, Spain (pdf).
• Faralli, S., Panchenko, A., Biemann, C., Ponzetto, S. P. (2017): The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links. Proceedings of EACL 2017, Valencia, Spain (pdf).
• Faralli, S., Panchenko, A., Biemann, C., 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.,  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.,  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)
• 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., 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)
• 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)
• Panchenko A., Ustalov D., Arefyev N., Paperno D., Konstantinova N., Loukachevitch N., 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]
• 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)
• 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, Colorado (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)
• 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)
• 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)
• 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)
• 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)
• Biemann, C. and Nygaard, V. (2010): Crowdsourcing WordNet. The 5th International Conference of the Global WordNet Association (GWC-2010), Mumbai, India (pdf)
• Biemann, C., Choudhury, M. and Mukherjee, A. (2009): Syntax is from Mars while Semantics is from Venus! Insights from Spectral Analysis of Distributional Similarity Networks. Proceedings  of ACL‐09 short paper track, Singapore (pdf)
• Joydeep Nath, Monojit Choudhury, Animesh Mukherjee, Chris Biemann and Niloy Ganguly (2008): Unsupervised Parts-of-Speech Induction for Bengali. Proceedings of LREC-08, Marrakech, Morocco  
• Chris Biemann, Uwe Quasthoff, Gerhard Heyer and Florian Holz (2008): ASV Toolbox: a Modular Collection of Language Exploration Tools. Proceedings of LREC-08, Marrakech, Morocco 
• Holz, F., Biemann, C. (2008): Unsupervised and Knowledge-Free Learning of Compound Splits and Periphrases. Proceedings of CicLING-08, Haifa, Israel (pdf) 
• Biemann, C., Giuliano, C. and Gliozzo, A. (2007): Unsupervised Part of Speech Tagging Supporting Supervised Methods. IN: Proceedings of RANLP-07, Borovets, Bulgaria (pdf) (poster-png)
• Biemann, C., Heyer, G., Quasthoff U. and Richter, M. (2007): The Leipzig Corpora Collection – Monolingual corpora of standard size. In: Proceedings of Corpus Linguistics 2007, Birmingham, UK (pdf)
• Loos, B. and Biemann, C. (2007): Supporting Web-based Address Extraction with Unsupervised Tagging. In: Proceedings of the 31st Annual Conference of the German Classification Society GfKl 2007 and Springer LNCS (pdf)
• Hallsteinsdóttir, E., Eckart, T., Biemann, C., Quasthoff, U. and Richter, M. (2007). Íslenskur Orðasjóður - Building a Large Icelandic Corpus Proceedings of NODALIDA-07, Tartu, Estonia (pdf) (poster-ppt) 
• Socher, R., Biemann, C. and Osswald, R. (2007). Combining Contexts in Lexicon Learning for Semantic Parsing. Proceedings of NODALIDA-07, Tartu, Estonia (pdf) (ppt) 
• Biemann, C. (2007). Unsupervised Natural Language Processing using Graph Models. HLT-NAACL-07 Doctoral Consortium and Poster Proceedings, Rochester, NY, USA (pdf ) (poster-png) (ppt)
• Biemann, C. (2007): A Random Text Model for the Generation of Statistical Language Invariants. Proceedings of HLT-NAACL-07, Rochester, NY, USA (pdf ) (ppt)
• Biemann, C. and Quasthoff, U. (2007). Similarity of Documents and Document Collections using Attributes with Low Noise. Proceedings of WEBIST-07, Barcelona, Spain (pdf ) (ppt )
• Richter, M., Quasthoff, U., Hallsteinsdóttir, E. and Biemann, C. (2006): Exploiting the Leipzig Corpora Collection. Proceedings of IS-LTC'06, Ljubljana, Slovenia ( pdf)
• Eiken, U.C., Liseth, A.T., Richter, M., Witschel, H. F. and Biemann, C. (2006): Ord i Dag: Mining Norwegian Daily Newswire. Proceedings of FinTAL, Turku, Finland ( pdf )
• Quasthoff, U., Richter, M. and Biemann, C. (2006): Corpus Portal for Search in Monolingual Corpora. Proceedings of LREC-06, Genoa, Italy (pdf ) (poster-pdf )
• Witschel, F., Biemann, C. (2005): Rigorous dimensionality reduction through linguistically motivated feature selection for text categorisation. Proceedings of NODALIDA 2005, Joensuu, Finland (pdf )
• Biemann, C., Quasthoff, U. (2005): Dictionary acquisition using parallel text and cooccurrence statistics. Proceedings of NODALIDA 2005,Joensuu, Finland (pdf )(ppt)
• Melz, R., Biemann, C., Böhm, K., Heyer, G. (2005): Real-time Analysis of Voice Streams and their Representation as Conceptual Structures, Proceedings of HCI-05, Las Vegas, USA (pdf)
• Biemann, C., Osswald, R. (2005): Automatic Extension of Feature-based Semantic Lexicons via Contextual Features, Proceedings of the 29th Annual Conference of the German Classification Society GfKl 2005 and Springer LNCS (pdf) (ppt)
• Biemann, C., Osswald, R. (2005): Automatische Erweiterung eines semantikbasierten Lexikons durch Bootstrapping auf großen Korpora. In W. Hess und W. Lenders (Hrsg.) "Sprache, Sprechen und Computer/Computer Studies in Language and Speech" und Proceedings of GLDV-Frühjahrstagung 2005, Bonn, Peter-Lang-Verlag, Frankfurt am Main (pdf) (ppt)
• Biemann, C., Teresniak, S. (2005): Disentangling from Babylonian Confusion - Unsupervized Language Identification, Proceedings of CICLing-2005, Computational Linguistics and Intelligent Text Processing, Mexico City, Mexico and Springer LNCS 3406 (pdf)
• Biemann, C., Böhm, K., Heyer, G., Melz, R. (2004): "SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections, Proceedings of ECML/PKDD 2004, Pisa, Italy and Springer LNAI 3202 (pdf )
• Biemann, C., Shin, S.-I., Choi, K.-S. (2004): "Semiautomatic Extension of CoreNet using a Bootstrapping Mechanism on Corpus-based Co-occurrences", Proceedings of the 20th International Conference on Computational Linguistics (COLING04) Genf, Switzerland (pdf )
• Biemann, C.; Quasthoff, U.; Wolff, C. (2004). "Linguistic Corpus Search" In: Proceedings Fourth International Conference on Languag esources and Evaluation (LREC 2004), Lissabon, Mai 2004. (pdf ) (poster-pdf ) 
• Biemann, C.; Bordag, S.; Quasthoff, U.; Wolff, C. (2004). "Web Services for Language Resources and Language Technology Applications. " In: Proceedings Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lissabon, Mai 2004. (pdf )
• Biemann, C.; Bordag, S.; Quasthoff, U. (2004): Automatic Acquisition of Paradigmatic Relations using Iterated Co-occurrences, Proceedings of LREC2004, Lisboa, Portugal (pdf ) (ppt )
• Biemann, C.; Böhm, K., Heyer, G., Melz, R. (2004): Automatically Building Concept Structures and Displaying Concept Trails for the Use in Brainstorming Sessions and Content Management Systems, Proceedings of I2CS, Guadalajara, Mexico and Springer LNCS (pdf )
• Biemann, C.; Bordag, S.; Heyer, G.; Quasthoff, U.; Wolff, Chr.: Language-independent Methods for Compiling Monolingual Lexical Data, Proceedings of CicLING 2004, Seoul, Korea and Springer LNCS 2945, pp. 215-228, Springer Verlag Berlin Heidelberg (pdf )
• Biemann, C. (2003): Extraktion semantischer Relationen aus natürlichsprachlichem Text mit Hilfe von maschinellem Lernen, in Uta Seewald-Heeg (Hrsg.), Sprachtechnologie für die multilinguale Kommunikation, Proceedings of GLDV-Frühjahrstagung 2003, Gardez!-Verlag, Sankt Augustin (pdf )
• Quasthoff, U., Biemann, C., Wolff, C. (2002): Named Entity Learning and Verification: Expectation Maximisation in Large Corpora, Proceedings of CoNNL-2002, Taipei, Taiwan (pdf )

• Jigar, M.A. Ayele, A.A., Yimam S.M., Biemann C. (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)
• Ayele, A.A., Jalew, E.A., Ali, A.C., Yimam, S.M., Biemann C. (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)
• Wang, X., Li, X., Li, X., and Biemann, C. (2024): Probing Large Langauge 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, Turino, 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)
• 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)
• 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)
• 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)
• 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)
• 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)
• Muhammad, S.H., Abdulmumin, I., Yimam, S.M., Adelani, D.I., Ahmad, I.S., Ousidhoum, N., Ayele, A.A., Mohammad, S.M., Beloucif, M., Ruder, S. (2023): SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval). Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). Toronto, Canada (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)
• Banerjee, D., Awale, S., Usbeck, R., Biemann, C. (2023): DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph, The 13th International Workshop on Bibliometric-enhanced Information Retrieval @ European Conference on Information Retrieval, Dublin, Ireland, 2023 (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)
• Banerjee D., Yimam S.M., Awale S. and Biemann C (2023), ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System, The AAAI 2023 Workshop on Scientific Document Understanding at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA. (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): The 5Js in Ethiopia: Amharic Hate Speech Data Annotation Using Toloka Crowdsourcing Platform, The Sixth Widening Natural Language Processing Workshop (WiNLP 2022) in conjunction with EMNLP 2022, Abu Dhabi, UAE (pdf)
• 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).
• 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).
• Hatzel, H., Biemann, C. (2021): LTUHH@STSS: Applying Coreference to Literary Scene Segmentation, Proceedings of the Shared Task on Scene Segmentation, Düsseldorf, Germany (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)
• Hatzel, H., Biemann, C. (2021): Towards Layered Events and Schema Representations in Long Documents, NAACL 2021 Student Research Workshop, Mexico City, Mexico (online) (pdf)
• 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).
• 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).
• 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)
• 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., Remus S., Baumann T., Biemann, C., 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)
• 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)
• 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)
• 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)
• 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)
• 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)
• 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)
• 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)
• 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).
• 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)
• 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)
• 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)
• 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)
• 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., 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)
• 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)
• Nandi, T., Biemann, C., Yimam, SM., Gupta, Deepak., Kohail, S., Ekbal, A., Bhattacharyya, Pushpak. (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. (selected for best of SemEval session) (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)
• 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)
• 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)
• 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, 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
• 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 (selected for best of SemEval session) (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)
• 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)
• 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)
• 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)
• 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)
• Biemann, C. and Giesbrecht, E. (2011): Distributional Semantics and Compositionality 2011: Shared Task Description and Results. Proceedings of the Workshop on Distributional Semantics and Compositionality at ACL 2011, Portland, OR, USA (pdf) (slides)
• Biemann, C. (2010): Co-occurrence Cluster Features for Lexical Substitutions in Context. Proceedings of the 5th Workshop on TextGraphs in conjunction with ACL 2010, Uppsala, Sweden (pdf)
• Biemann, C., Witschel, F. (2007): Webspam Detection via Semi-Supervised Graph Partitioning. Proceedings of the WEBSPAM Challenge in Conjunction with ECML/PKDD-07, Warsaw, Poland (pdf)
• Biemann, C. and Quasthoff, U. (2007): Examining Higher Order Transformations for Scale-free Small World Graphs. Abstracts of the ECCS-07 Workshop on Dynamics on and of Compex Networks, Dresden, Germany (pdf)
• Biemann C. (2006): Unsupervised Part-of-Speech Tagging Employing Efficient Graph Clustering. Proceedings of the COLING/ACL-06 Student Research Workshop 2006, Sydney, Australia (pdf ) (poster-png) (tagsets-pdf )
• Biemann, C. (2006): Chinese Whispers - an Efficient Graph Clustering Algorithm and its Application to Natural Language Processing Problems. Proceedings of the HLT-NAACL-06 Workshop on Textgraphs-06, New York, USA (pdf ) (ppt )
• Quasthoff, U., Biemann, C. (2006): Measuring Monolinguality. Proceedings of the LREC-06 workshop on Quality assurance and quality measurement for language and speech resources, Genoa, Italy (pdf ) (ppt )
• Mahn, M., Biemann, C. (2005): Tuning Co-occurrences of Higher Orders for Generating Ontology Extension Candidates, proceedings of the ICML-2005 Workshop on Learning and Extending Lexical Ontologies using Machine Learning Methods, Bonn, Germany (pdf)
• Biemann, C. (2005): Semantic Indexing with Typed Terms Using Rapid Annotation, Proceedings of the TKE-05-Workshop on Methods and Applications of Semantic Indexing, Copenhagen, Denmark (pdf) (ppt)
• Biemann, C., Bordag, S., Quasthoff, U. (2003): Lernen von paradigmatischen Relationen auf iterierten Kollokationen, Beiträge zum GermaNet-Workshop: Anwendungen des deutschen Wortnetzes in Theorie und Praxis, Tübingen, Oktober 2003 and LDV-Forum 19 (1/2), 2004 (pdf) (ppt)

Patents

• Nygaard, V., Turchetto, R, Chan, J., Biemann, C. et al.. Generating Snippets based on Context Features. U.S. Patent, filing date 5/11/2010, publication date 11/17/2011 (pdf)