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Tags: Natural Language Processing, Computational Linguistics, Machine Learning, language technology


  • Fares, Murhaf; Oepen, Stephan & Velldal, Erik (2018). Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation, In Ellen Riloff (ed.),  Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing.  Association for Computational Linguistics.  ISBN 978-1-948087-84-1.  Paper.  s 1488 - 1498 Show summary
  • Fares, Murhaf; Oepen, Stephan; Øvrelid, Lilja; Björne, Jari & Johansson, Richard (2018). The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers, In Daniel Zeman & Jan Hajic (ed.),  Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.  Association for Computational Linguistics.  ISBN 978-1-948087-82-7.  Article.  s 22 - 33 Show summary
  • Kutuzov, Andrei; Fares, Murhaf; Oepen, Stephan & Velldal, Erik (2017). Word vectors, reuse, and replicability: Towards a community repository of large-text resources, In Jörg Tiedemann (ed.),  Proceedings of the 21st Nordic Conference on Computational Linguistics (NoDaLiDa).  Linköping University Electronic Press.  ISBN 978-91-7685-601-7.  chapter.  s 271 - 276 Full text in Research Archive. Show summary
  • Fares, Murhaf (2016). A Dataset for Joint Noun-Noun Compound Bracketing and Interpretation, In He He; Tao Lei & Will Roberts (ed.),  The 54th Annual Meeting of the Association for Computational Linguistics - Proceedings of the Student Research Workshop.  Association for Computational Linguistics.  ISBN 978-1-945626-02-9.  Article.  s 72 - 79
  • Fares, Murhaf; Oepen, Stephan & Velldal, Erik (2015). Identifying Compounds: On The Role of Syntax, In Markus Dickinson; Erhard Hinrichs; Agnieszka Patejuk & Adam Przepiórkowski (ed.),  Proceedings of the Fourteenth Workshop on Treebanks and Linguistic Theories (TLT14).  Institute of Computer Science, Polish Academy of Sciences (IPI-PAN).  ISBN 978-83-63159-18-4.  Article.
  • Fares, Murhaf; Oepen, Stephan & Zhang, Yi (2013). Machine Learning for High-Quality Tokenization. Replicating Variable Tokenization Schemes, In Alexander Gelbukh (ed.),  Computational Linguistics and Intelligent Text Processing. 14th International Conference, CICLing 2013, Samos, Greece, March 24-30, 2013, Proceedings, Part I.  Springer.  ISBN 978-3-642-37247-6.  Chapter.  s 231 - 244

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Published June 2, 2015 3:28 PM - Last modified July 30, 2018 1:48 PM


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