NLP Gruppe
Natural Language Processing

Publikationen

2020

  • Kevin Mathews, Michael Strube (2020). A large harvested corpus of location metonymy, In Proceedings of the 12th International Conference on Language Resources and Evaluation, Marseille, France, 11–16 May 2020 1042

2019

2018

  • Yufang Hou, Katja Markert, Michael Strube (2018). Unrestricted bridging resolution, Computational Linguistics 44(2):237-284 395
  • Adam Bannister, Fabian G. Müller, Mark-Christoph Müller, Olaf Teschke (2018). On the road to MSC 2020 (Editorial), Newsletter of the European Mathematical Society(108), pp. 3-4 393
  • Benjamin Heinzerling, Michael Strube (2018). BPEmb: Tokenization-free pre-trained subword embeddings in 275 languages, In Proceedings of the 11th International Conference on Language Resources and Evaluation, Miyazaki, Japan, 7–12 May 2018 394
  • Angelika Kirilin, Michael Strube (2018). Exploiting a speaker’s credibility to detect fake news, In Workshop on Data Science, Journalism and Media, London, UK, 20 August 2018 396
  • Mohsen Mesgar, Michael Strube (2018). A neural local coherence model for text quality assessment, In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31 October – 4 November 2018, pp. 4328-4339 397
  • Mahdi Mohseni, Hashaam Faili (2018). Title generation and keyphrase extraction from Persian scientific texts, In Proceedings of the 9th International Symposium on Telecommunications, Tehran, Iran, 17-19 December 398
  • Mark-Christoph Müller (2018). On the contribution of word-level semantics to practical author name disambiguation, In Proceedings of the 18th ACM/IEEE Joint Conference on Digitial Libraries, Fort Worth, Texas, 3–7 June 2018, pp. 367-368 399
  • Mark-Christoph Müller, Michael Strube (2018). Transparent, efficient, and robust word embedding access with WOMBAT, In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, Santa Fé, New Mexico, 20–26 August 2018, pp. 53-57 400
  • Nafise Sadat Moosavi, Michael Strube (2018). Using linguistic features to improve generalization in neural coreference resolvers, In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31 October – 4 November 2018, pp. 193-203 401
  • Ivan Sekulić, Matej Gjurković, Jan Šnajder (2018). Not just depressed: Bipolar disorder prediction on Reddit, In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity and Social Media Analysis, Brussels, Belgium, 31 October 2018, pp. 72-78 402
  • Julia Suter, Michael Strube (2018). Extending and exploiting the entity graph for analysis, classification and visualization of German texts, In Proceedings of the 14th Conference on Natural Language Processing (KONVENS), Vienna, Austria, 17–19 September 2018, pp. 136-140 403
  • Markus Zopf, Teresa Botschen, Tobias Falke, Benjamin Heinzerling, Ana Marasovic, Todor Mihaylov, Avinesh P.V.S., Eneldo Loza Mencía, Johannes Fürnkranz, Anette Frank (2018). What’s important in a text? An extensive evaluation of linguistic annotations for summarization, In Proceedings of the 5th International Conference on Social Networks Analysis, Management and Security, Valencia, Spain, 15–18 October 2018, pp. 272-277 404
  • Mark Alfano, Dirk Hovy, Margaret Mitchell, Michael Strube (2018). Proceedings of the 2nd ACL Workshop on Ethics in Natural Language Processing, New Orleans, Louis., 5 June 2018, http://aclweb.org/anthology/W18-0800.pdf 406

2017

  • Leo Born, Mohsen Mesgar, Michael Strube (2017). Using a graph-based coherence model in document-Level machine translation, In Proceedings of the 3rd Workshop on Discourse in Machine Translation, Copenhagen, Denmark, 8 September 2017, pp. 26-35 278
  • Benjamin Heinzerling, Michael Strube, Chin-Yew Lin (2017). Trust, but verify! Better entity linking through automatic verification, In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Valencia, Spain, 3–7 April 2017, pp. 828-838 279
  • Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube (2017). Revisiting selectional preferences for coreference resolution, In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, 7–11 September 2017, pp. 1343-1350 280
  • Dirk Hovy, Shannon Spruit, Margaret Mitchell, Emily M. Bender, Michael Strube, Hanna Wallach (2017). Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, Valencia, Spain, 4 April 2017, http://www.aclweb.org/anthology/W17-16.pdf 281
  • Alex Judea, Michael Strube (2017). Event argument identification on dependency graphs with bidirectional LSTMs, In Proceedings of the 8th International Joint Conference on Natural Language Processing, Taipei, Taiwan, 27 November – 1 December 2017, pp. 822-831 282
  • Sadao Kurohashi, Michael Strube (2017). Proceedings of the IJCNLP 2017, Tutorial Abstracts, Taipei, Taiwan, 27 November 2017, http://www.aclweb.org/anthology/I17-5.pdf 283
  • Nafise Sadat Moosavi, Michael Strube (2017). Use generalized representations, but do not forget surface features, In Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes, Valencia, Spain, 4 April 2017, pp. 1-7 284
  • Nafise Sadat Moosavi, Michael Strube (2017). Lexical features in coreference resolution: To be used with caution, In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (vol. 2: Short Papers), Vancouver, B.C., Canada, 30 July –4 August 2017 285
  • Mark-Christoph Müller, Florian Reitz, Nicolas Roy (2017). Data sets for author name disambiguation: An empirical analysis and a new resource, Scientometrics, 111(3):1467-1500 286
  • Mark-Christoph Müller (2017). Semantic author name disambiguation with word embeddings, Research and Advanced Technology for Digital Libraries 10450:300-311,Springer International Publishing 287

2016

  • Bernd Resch, Anja Summa, Peter Zeile, Michael Strube (2016). Citizen-centric urban planning through extracting emotion information from Twitter in an interdisciplinary space-time-linguistics algorithm, UP 1(2):114 196
  • Benjamin Heinzerling, Alex Judea, Michael Strube (2016). HITS at TAC KBP 2015: Entity discovery and linking, and event nugget detection, In Proceedings of the Text Analysis Conference, National Institute of Standards and Technology, Gaithersburg, Maryland, USA, 16–17 November 2015 189
  • Alex Judea, Michael Strube (2016). Incremental global event extraction, In Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, 11–16 December 2016, pp. 2279-2289 190
  • Mohsen Mesgar, Michael Strube (2016). Lexical coherence graph modeling using word embeddings, In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, Cal., 12–17 June 2016, pp. 1414-1423 191
  • Nafise Sadat Moosavi, Michael Strube (2016). Search space pruning: A simple solution for better coreference resolvers, In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, Cal., 12–17 June 2016, pp. 1005-1011 192
  • Nafise Sadat Moosavi, Michael Strube (2016). Which coreference evaluation metric do you trust? A proposal for a link-based entity aware metric, In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (vol. 1: Long Papers), Berlin, Germany, 7–12 August 2016, pp. 632-642 193
  • Daraksha Parveen, Mohsen Mesgar, Michael Strube (2016). Generating coherent summaries of scientific articles using coherence patterns, In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Tex., 1–5 November 2016, pp. 772-783 194
  • Madeline Remse, Mohsen Mesgar, Michael Strube (2016). Feature-rich error detection in scientific writing using logistic regression, In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, San Diego, Cal., 16 June 2016, pp. 162-171 195
  • Anja Summa, Bernd Resch, Michael Strube (2016). Microblog emotion classification by computing similarity in text, time, and space, In Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media, Osaka, Japan, 12 December 2016, pp. 153-162 197

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