Deep lexical segmentation and syntactic parsing in the easy-first dependency framework

2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

Volumn , Issue , 2016, Pages 1095-1101

  Constant, Matthieu ^a,b   Le Roux, Joseph ^c   Tomeh, Nadi ^c  

^a UNIVERSITÉ PARIS EST   (France)

^b INRIA   (France)

^c UNIVERSITÉ PARIS 13   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; FORESTRY;

DEPENDENCY PARSING; DEPENDENCY TREES; HIERARCHICAL STRUCTURES; JOINT SYSTEM; MULTIWORD EXPRESSIONS; SYNTACTIC PARSING;

SYNTACTICS;

EID: 84994092901     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1127     Document Type: Conference Paper

References (20)

1. Anne Abeillé, Lionel Clément, and François Toussenel. 2003. Building a treebank for French. In Anne Abeillé, editor, Treebanks. Kluwer, Dordrecht.
2. Eduard Bejček and Pavel Straňák. 2010. Annotation of multiword expressions in the prague dependency tree-bank. Language Resources and Evaluation, 44(1-2).
3. Marie Candito and Matthieu Constant. 2014. Strategies for contiguous multiword expression analysis and dependency parsing. In ACL 14-The 52nd Annual Meeting of the Association for Computational Linguistics. ACL.
4. Marie Candito and Djamé Seddah. 2012. Le corpus Sequoia : annotation syntaxique et exploitation pour l'adaptation d'analyseur par pont lexical. In TALN 2012 - 19e conférence sur le Traitement Automatique des Langues Naturelles, Grenoble, France.
5. Matthieu Constant and Joseph Le Roux. 2015. Dependency representations for lexical segmentation. In Proceedings of the international workshop on statistical parsing of morphologically-rich languages (SPMRL 2015).
6. Matthieu Constant, Anthony Sigogne, and Patrick Watrin. 2012. Discriminative strategies to integrate multiword expression recognition and parsing. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL'12), pages 204-212.
7. Gülşen Eryiǧit, Tugay İlbay, and Ozan Arkan Can. 2011. Multiword Expressions in Statistical Dependency Parsing. In Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages, SPMRL '11, pages 45-55, Stroudsburg, PA, USA. Association for Computational Linguistics.
8. Yoav Goldberg and Michael Elhadad. 2010. An efficient algorithm for easy-first non-directional dependency parsing. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 742-750. Association for Computational Linguistics.
9. Yoav Goldberg and Joakim Nivre. 2013. Training deterministic parsers with non-deterministic oracles. Transactions of the association for Computational Linguistics, 1:403-414.
10. J. Hajič, J. Panevová, E. Hajičová, P. Sgall, P. Pajas, Štěpánek, Havelka J., Mikulová J., Z. M., Žabokrtský, and M. Ševčíková Razímová. 2006. Prague dependency treebank 2.0. Linguistic Data Consortium.
11. Joseph Le Roux, Antoine Rozenknop, and Matthieu Constant. 2014. Syntactic parsing and compound recognition via dual decomposition: Application to french. In COLING.
12. Joakim Nivre and Jens Nilsson. 2004. Multiword units in syntactic parsing. Proceedings of Methodologies and Evaluation of Multiword Units in Real-World Applications (MEMURA).
13. Geoffrey Nunberg, Ivan A. Sag, and Thomas Wasow. 1994. Idioms. Language, 70:491-538.
14. Ivan A. Sag, Timothy Baldwin, Francis Bond, Ann Copestake, and Dan Flickinger. 2002. Multiword expressions: A pain in the neck for nlp. In In Proc. of the 3rd International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2002, pages 1-15.
15. Agata Savary, Manfred Sailer, Yannick Parmentier, Michael Rosner, Victoria Rosén, Adam Przepiórkowski, Cvetana Krstev, Veronika Vincze, Beata Wójtowicz, Gyri Smørdal Losnegaard, Carla Parra Escartín, Jakub Waszczuk, Matthieu Constant, Petya Osenova, and Federico Sangati. 2015. PARSEME - PARSing and Multiword Expressions within a European multilingual network. In 7th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC 2015), Poznań, Poland, November.
16. Nathan Schneider, Emily Danchik, Chris Dyer, and Noah A Smith. 2014a. Discriminative lexical semantic segmentation with gaps: running the mwe gamut. Transactions of the Association for Computational Linguistics, 2:193-206.
17. Nathan Schneider, Spencer Onuffer, Nora Kazour, Emily Danchik, Michael T. Mordowanec, Henrietta Conrad, and Noah A. Smith. 2014b. Comprehensive annotation of multiword expressions in a social web corpus. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Ninth International Conference on Language Resources and Evaluation, pages 455-461, Reykjavík, Iceland, May. ELRA.
18. Djamé Seddah, Reut Tsarfaty, Sandra Kübler, Marie Candito, Jinho Choi, Richárd Farkas, Jennifer Foster, Iakes Goenaga, Koldo Gojenola, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, Wolfgang Maier, Joakim Nivre, Adam Przepiorkowski, Ryan Roth, Wolfgang Seeker, Yannick Versley, Veronika Vincze, Marcin Woliński, Alina Wróblewska, and Eric Villemonte de la Clérgerie. 2013. Overview of the spmrl 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages. In Proceedings of the 4th Workshop on Statistical Parsing of Morphologically Rich Languages, Seattle, WA.
19. Veronika Vincze, János Zsibrita, and Istvàn Nagy T. 2013. Dependency parsing for identifying hungarian light verb constructions. In Proceedings of International Joint Conference on Natural Language Processing (IJCNLP 2013), Nagoya, Japan.
20. Eric Wehrli. 2014. The relevance of collocations for parsing. In Proceedings of the 10th Workshop on Multiword Expressions (MWE), pages 26-32, Gothenburg, Sweden, April. Association for Computational Linguistics.