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.

2021

• 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)

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., 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 (link)
• 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 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., Sethib, 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