Feature embedding for dependency parsing

COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers

Volumn , Issue , 2014, Pages 816-826

  Chen, Wenliang ^a   Zhang, Yue ^b   Zhang, Min ^a  

^a SOOCHOW UNIVERSITY   (China)

^b SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; LINGUISTICS;

DEPENDENCY PARSING; DISTRIBUTED REPRESENTATION; EMBEDDINGS; FEATURE EMBEDDING; FEATURE SPARSENESS; GRAPH-BASED; LARGE AMOUNTS; STANDARD CHINESE;

COMPUTATIONAL LINGUISTICS;

EID: 84959928208     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (40)

1. R.K. Ando and T. Zhang. 2005. A high-performance semi-supervised learning method for text chunking. ACL.
2. Yoshua Bengio. 2008. Neural net language models. In Scholarpedia, page 3881.
3. Yoshua Bengio. 2009. Learning deep architectures for AI. Foundations and trends in Machine Learning, 2(1): 1-127.
4. Bernd Bohnet and Joakim Nivre. 2012. A transition-based system for joint part-of-speech tagging and labeled non-projective dependency parsing. In Proceedings of EMNLP-CoNLL 2012, pages 1455-1465. Association for Computational Linguistics.
5. Bernd Bohnet. 2010. Top accuracy and fast dependency parsing is not a contradiction. In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pages 89-97, Beijing, China, August. Coling 2010 Organizing Committee.
6. Peter F. Brown, Peter V. de Souza, Robert L. Mercer, T. J. Watson, Vincent J. Della Pietra, and Jenifer C. Lai. 1992. Class-Based n-gram Models of Natural Language. Computational Linguistics.
7. Xavier Carreras. 2007. Experiments with a higher-order projective dependency parser. In Proceedings of the CONLL Shared Task Session of EMNLP-CoNLL 2007, pages 957-961, Prague, Czech Republic, June. Association for Computational Linguistics.
8. Wenliang Chen, Jun'ichi Kazama, Kiyotaka Uchimoto, and Kentaro Torisawa. 2009. Improving dependency parsing with subtrees from auto-parsed data. In Proceedings of EMNLP 2009, pages 570-579, Singapore, August.
9. Wenliang Chen, Min Zhang, and Yue Zhang. 2013. Semi-supervised feature transformation for dependency parsing. In Proceedings of EMNLP 2013, pages 1303-1313, Seattle, Washington, USA, October. Association for Computational Linguistics.
10. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. The Journal of Machine Learning Research, 12:2493-2537.
11. Koby Crammer and Yoram Singer. 2003. Ultraconservative online algorithms for multiclass problems. J. Mach. Learn. Res., 3:951-991.
12. James Curran. 2005. Supersense tagging of unknown nouns using semantic similarity. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05), pages 26-33, Ann Arbor, Michigan, June. Association for Computational Linguistics.
13. Xiangyu Duan, Jun Zhao, and Bo Xu. 2007. Probabilistic models for action-based Chinese dependency parsing. In Proceedings of ECML/ECPPKDD, Warsaw, Poland.
14. Jun Hatori, Takuya Matsuzaki, Yusuke Miyao, and Jun'ichi Tsujii. 2011. Incremental joint pos tagging and dependency parsing in Chinese. In Proceedings of 5th International Joint Conference on Natural Language Processing, pages 1216-1224, Chiang Mai, Thailand, November. Asian Federation of Natural Language Processing.
15. Terry Koo and Michael Collins. 2010. Efficient third-order dependency parsers. In Proceedings of ACL 2010, pages 1-11, Uppsala, Sweden, July. Association for Computational Linguistics.
16. T. Koo, X. Carreras, and M. Collins. 2008. Simple semi-supervised dependency parsing. In Proceedings of ACL-08: HLT, Columbus, Ohio, June.
17. Canasai Kruengkrai, Kiyotaka Uchimoto, Jun'ichi Kazama, Yiou Wang, Kentaro Torisawa, and Hitoshi Isahara. 2009. An error-driven word-character hybrid model for joint Chinese word segmentation and POS tagging. In Proceedings of ACL-IJCNLP 2009, pages 513-521, Suntec, Singapore, August. Association for Computational Linguistics.
18. Zhenghua Li, Wanxiang Che, and Ting Liu. 2011a. Improving Chinese pos tagging with dependency parsing. In Proceedings of 5th International Joint Conference on Natural Language Processing, pages 1447-1451, Chiang Mai, Thailand, November. Asian Federation of Natural Language Processing.
19. Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen, and Haizhou Li. 2011b. Joint models for Chinese pos tagging and dependency parsing. In Proceedings of EMNLP 2011, UK, July.
20. Zhenghua Li, Min Zhang, Wanxiang Che, and Ting Liu. 2012. A separately passive-aggressive training algorithm for joint pos tagging and dependency parsing. In Proceedings of the 24rd International Conference on Computational Linguistics (Coling 2012), Mumbai, India. Coling 2012 Organizing Committee.
21. Dekang Lin. 1997. Using syntactic dependency as local context to resolve word sense ambiguity. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, pages 64-71, Madrid, Spain, July. Association for Computational Linguistics.
22. R. McDonald and J. Nivre. 2007. Characterizing the errors of data-driven dependency parsing models. In Proceedings of EMNLP-CONLL, pages 122-131.
23. Ryan McDonald, Koby Crammer, and Fernando Pereira. 2005. Online large-margin training of dependency parsers. In Proceedings of ACL 2005, pages 91-98. Association for Computational Linguistics.
24. Tomas Mikolov, Jiri Kopecky, Lukas Burget, Ondrej Glembek, and Jan Cernocky. 2009. Neural network based language models for highly inflective languages. In Proceedings of ICASSP 2009, pages 4725-4728. IEEE.
25. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.
26. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeff Dean. 2013b. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems 26, pages 3111-3119.
27. J. Nivre and R. McDonald. 2008. Integrating graph-based and transition-based dependency parsers. In Proceedings of ACL-08: HLT, Columbus, Ohio, June.
28. J. Nivre, J. Hall, and J. Nilsson. 2004. Memory-based dependency parsing. In Proc. of CONLL 2004, pages 49-56.
29. J. Nivre, J. Hall, S. Kübler, R. McDonald, J. Nilsson, S. Riedel, and D. Yuret. 2007. The CONLL 2007 shared task on dependency parsing. In Proceedings of the CONLL Shared Task Session of EMNLP-CONLL 2007, pages 915-932.
30. Adwait Ratnaparkhi. 1996. A maximum entropy model for part-of-speech tagging. In Proceedings of EMNLP 1996, pages 133-142.
31. Richard Socher, John Bauer, Christopher D Manning, and Andrew Y Ng. 2013. Parsing with compositional vector grammars. In Proceedings of ACL 2013. Citeseer.
32. Jun Suzuki, Hideki Isozaki, Xavier Carreras, and Michael Collins. 2009. An empirical study of semi-supervised structured conditional models for dependency parsing. In Proceedings of EMNLP 2009, pages 551-560, Singapore, August. Association for Computational Linguistics.
33. Jun Suzuki, Hideki Isozaki, and Masaaki Nagata. 2011. Learning condensed feature representations from large unsupervised data sets for supervised learning. In Proceedings of ACL 2011, pages 636-641, Portland, Oregon, USA, June. Association for Computational Linguistics.
34. Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010. Word representations: A simple and general method for semi-supervised learning. In Proceedings of ACL 2010, pages 384-394. Association for Computational Linguistics.
35. Xianchao Wu, Jie Zhou, Yu Sun, Zhanyi Liu, Dianhai Yu, Hua Wu, and Haifeng Wang. 2013. Generalization of words for Chinese dependency parsing. In Proceedings of IWPT 2013, pages 73-81.
36. Hiroyasu Yamada and Yuji Matsumoto. 2003. Statistical dependency analysis with support vector machines. In Proceedings of IWPT 2003, pages 195-206.
37. Y. Zhang and S. Clark. 2008. A tale of two parsers: Investigating and combining graph-based and transition-based dependency parsing. In Proceedings of EMNLP 2008, pages 562-571, Honolulu, Hawaii, October.
38. Yue Zhang and Joakim Nivre. 2011. Transition-based dependency parsing with rich non-local features. In Proceedings of ACL-HLT 2011, pages 188-193, Portland, Oregon, USA, June. Association for Computational Linguistics.
39. Xiaoqing Zheng, Hanyang Chen, and Tianyu Xu. 2013. Deep learning for Chinese word segmentation and pos tagging. In Proceedings of EMNLP 2013, pages 647-657. Association for Computational Linguistics.
40. Guangyou Zhou, Jun Zhao, Kang Liu, and Li Cai. 2011. Exploiting web-derived selectional preference to improve statistical dependency parsing. In Proceedings of ACL-HLT2011, pages 1556-1565, Portland, Oregon, USA, June. Association for Computational Linguistics.