NLP Gruppe
Natural Language Processing

Publikationen

2020

  • Mathews K, Strube M (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

  • Hou Y, Markert K, Strube M (2018). Unrestricted bridging resolution, Computational Linguistics 44(2):237-284 395
  • Bannister A, Müller FG, Müller M, Teschke O (2018). On the road to MSC 2020 (Editorial), Newsletter of the European Mathematical Society(108), pp. 3-4 393
  • Heinzerling B, Strube M (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
  • Kirilin A, Strube M (2018). Exploiting a speaker’s credibility to detect fake news, In Workshop on Data Science, Journalism and Media, London, UK, 20 August 2018 396
  • Mesgar M, Strube M (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
  • Mohseni M, Faili H (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
  • Müller M (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
  • Müller M, Strube M (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
  • Moosavi NS, Strube M (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
  • Sekulić I, Gjurković M, Šnajder J (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
  • Suter J, Strube M (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
  • Zopf M, Botschen T, Falke T, Heinzerling B, Marasovic A, Mihaylov T, P.V.S. A, Mencía EL, Fürnkranz J, Frank A (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
  • Alfano M, Hovy D, Mitchell M, Strube M (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

  • Born L, Mesgar M, Strube M (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
  • Heinzerling B, Strube M, Lin C (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
  • Heinzerling B, Moosavi NS, Strube M (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
  • Hovy D, Spruit S, Mitchell M, Bender EM, Strube M, Wallach H (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
  • Judea A, Strube M (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
  • Kurohashi S, Strube M (2017). Proceedings of the IJCNLP 2017, Tutorial Abstracts, Taipei, Taiwan, 27 November 2017, http://www.aclweb.org/anthology/I17-5.pdf 283
  • Moosavi NS, Strube M (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
  • Moosavi NS, Strube M (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
  • Müller M, Reitz F, Roy N (2017). Data sets for author name disambiguation: An empirical analysis and a new resource, Scientometrics, 111(3):1467-1500 286
  • Müller M (2017). Semantic author name disambiguation with word embeddings, Research and Advanced Technology for Digital Libraries 10450:300-311,Springer International Publishing 287

2016

  • Resch B, Summa A, Zeile P, Strube M (2016). Citizen-centric urban planning through extracting emotion information from Twitter in an interdisciplinary space-time-linguistics algorithm, UP 1(2):114 196
  • Heinzerling B, Judea A, Strube M (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
  • Judea A, Strube M (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
  • Mesgar M, Strube M (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
  • Moosavi NS, Strube M (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
  • Moosavi NS, Strube M (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
  • Parveen D, Mesgar M, Strube M (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
  • Remse M, Mesgar M, Strube M (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
  • Summa A, Resch B, Strube M (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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