Algorithms for deterministic incremental dependency parsing

Computational Linguistics

Volumn 34, Issue 4, 2008, Pages 513-553

  Nivre, Joakim ^a,b  

^a LINNAEUS UNIVERSITY   (Sweden)

^b UPPSALA UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

SYNTACTICS;

COMPREHENSIVE ANALYSIS; DEPENDENCY PARSING; DEPENDENCY STRUCTURES; EXPERIMENTAL EVALUATION; LINEAR TIME COMPLEXITY; NATURAL LANGUAGE GRAMMARS; NATURAL LANGUAGE PARSING; SYNTACTIC REPRESENTATION;

LEARNING ALGORITHMS;

EID: 57349126314     PISSN: 08912017     EISSN: 15309312     Source Type: Journal    
DOI: 10.1162/coli.07-056-R1-07-027     Document Type: Article

References (47)

1. Abney, Steven and Mark Johnson. 1991. Memory requirements and local ambiguities of parsing strategies. Journal of Psycholinguists Research, 20:233-250.
2. Aho, Alfred V., Ravi Sethi, and Jeffrey D. Ullman. 1986. Compilers: Principles, Techniques, and Tools. Addison-Wesley, Reading, MA.
3. Attardi, Giuseppe. 2006. Experiments with a multilanguage non-projective dependency parser. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 166-170, New York.
4. Böhmová, Alena, Jan Hajič, Eva Hajičová, and Barbora Hladká. 2003. The Prague Dependency Treebank: A three-level annotation scenario. In Anne Abeille, editor, Treebanks: Building and Using Parsed Corpora. Kluwer Academic Publishers, Dordrecht, pages 103-127.
5. Buchholz, Sabine and Erwin Marsi. 2006. CoNLL-X shared task on multilingual dependency parsing. In Proceedings of the Tenth Conference on Computational Natural Language Learning, pages 149-164, New York.
6. Chang, Chih-Chung and Chih-Jen Lin, 2001. LIBSVM: A Library for Support Vector Machines. Software available at http: //www.csie.ntu.edu.tw/ ~cjlin/libsvm.
7. Cheng, Yuchang, Masayuki Asahara, and Yuji Matsumoto. 2005. Machine learning-based dependency analyzer for Chinese. In Proceedings of International Conference on Chinese Computing (ICCC), pages 66-73, Singapore.
8. Cormen, Thomas H., Charles E. Leiserson, and Ronald L. Rivest. 1990. Introduction to Algorithms. MIT Press, Cambridge, MA.
9. Covington, Michael A. 2001. A fundamental algorithm for dependency parsing. In Proceedings of the 39th Annual ACM Southeast Conference, pages 95-102, Athens, GA.
10. Eisner, Jason M. 1996. Three new probabilistic models for dependency parsing: An exploration. In Proceedings of the 16th International Conference on Computational Linguistics (COLING), pages 340-345, Copenhagen.
11. Hajič, Jan, Barbora Vidova Hladka, Jarmila Panevová, Eva Hajičová, Petr Sgall, and Petr Pajas. 2001. Prague Dependency Treebank 1.0. LDC, 2001T10.
12. Hall, J., J. Nilsson, J. Nivre, G. Eryiǧit, B. Megyesi, M. Nilsson, and M. Saers. 2007. Single malt or blended? A study in multilingual parser optimization. In Proceedings of the CoNLL shared task of EMNLP-CoNLL 2007, pages 933-939, Prague.
13. Hall, Johan, Joakim Nivre, and Jens Nilsson. 2006. Discriminative classifiers for deterministic dependency parsing. In Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pages 316-323, Sydney.
14. Hudson, Richard A. 1990. English Word Grammar. Blackwell, Oxford.
15. Johansson, Richard and Pierre Nugues. 2006. Investigating multilingual dependency parsing. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 206-210, New York.
16. Kalt, Tom. 2004. Induction of greedy controllers for deterministic treebank parsers. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 17-24, Barcelona.
17. Kudo, Taku and Yuji Matsumoto. 2002. Japanese dependency analysis using cascaded chunking. In Proceedings of the Sixth Workshop on Computational Language Learning (CoNLL), pages 63-69, Taipei.
18. Marcus, Mitchell P. 1980. A Theory of Syntactic Recognition for Natural Language. MIT Press, Cambridge, MA.
19. Marcus, Mitchell P., Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19:313-330.
20. Marcus, Mitchell P., Beatrice Santorini, Mary Ann Marcinkiewicz, Robert MacIntyre, Ann Bies, Mark Ferguson, Karen Katz, and Britta Schasberger. 1994. The Penn Treebank: Annotating predicate-argument structure. In Proceedings of the ARPA Human Language Technology Workshop, pages 114-119, Plainsboro, NJ.
21. Marinov, S. 2007. Covington variations. In Proceedings of the CoNLL Shared Task of EMNLP-CONLL 2007, pages 1144-1148, Prague.
22. McDonald, Ryan, Koby Crammer, and Fernando Pereira. 2005. Online large-margin training of dependency parsers. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), pages 91-98, Ann Arbor, MI.
23. McDonald, Ryan, Kevin Lerman, and Fernando Pereira. 2006. Multilingual dependency analysis with a two-stage discriminative parser. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL), pages 216-220.
24. McDonald, Ryan and Joakim Nivre. 2007. Characterizing the errors of data-driven dependency parsing models. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CONLL), pages 122-131, Prague.
25. McDonald, Ryan and Fernando Pereira. 2006. Online learning of approximate dependency parsing algorithms. In Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 81-88, Trento.
26. McDonald, Ryan, Fernando Pereira, Kiril Ribarov, and Jan Hajič. 2005. Non-projective dependency parsing using spanning tree algorithms. In Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), pages 523-530, Vancouver.
27. Mel'čuk, Igor. 1988. Dependency Syntax: Theory and Practice. State University of New York Press, New York.
28. Nilsson, Jens, Joakim Nivre, and Johan Hall. 2007. Generalizing tree transformations for inductive dependency parsing. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), pages 968-975, Prague.
29. Nivre, Joakim. 2003. An efficient algorithm for projective dependency parsing. In Proceedings of the 8th International Workshop on Parsing Technologies (IWPT), pages 149-160, Nancy.
30. Nivre, Joakim. 2004. Incrementality in deterministic dependency parsing. In Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together (ACL), pages 50-57, Barcelona.
31. Nivre, Joakim. 2006a. Constraints on non-projective dependency graphs. In Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 73-80, Trento.
32. Nivre, Joakim. 2006b. Inductive Dependency Parsing. Springer, Dordrecht.
33. Nivre, Joakim. 2007. Incremental non-projective dependency parsing. In Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), pages 396-103, Rochester, NY.
34. Nivre, Joakim, Johan Hall, and Jens Nilsson. 2004. Memory-based dependency parsing. In Proceedings of the 8th Conference on Computational Natural Language Learning (CoNLL), pages 49-56, Boston, MA.
35. Nivre, Joakim, Johan Hall, Jens Nilsson, Atanas Chanev, Gülşen Eryiǧit, Sandra Kubier, Svetoslav Marinov, and Erwin Marsi. 2007. MaltParser: A language-independent system for data-driven dependency parsing. Natural Language Engineering, 13:95-135.
36. Nivre, Joakim, Johan Hall, Jens Nilsson, Guisen Eryigit, and Svetoslav Marinov. 2006. Labeled pseudo-projective dependency parsing with support vector machines. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL), pages 221-225, New York, NY.
37. Nivre, Joakim and Jens Nilsson. 2005. Pseudo-projective dependency parsing. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), pages 99-106, Ann Arbor, MI.
38. Nivre, Joakim and Mario Scholz. 2004. Deterministic dependency parsing of English text. In Proceedings of the 20th International Conference on Computational Linguistics (COLING), pages 64-70, Geneva.
39. Ratnaparkhi, Adwait. 1997. A linear observed time statistical parser based on maximum entropy models. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1-10, Providence, RI.
40. Ratnaparkhi, Adwait. 1999. Learning to parse natural language with maximum entropy models. Machine Learning, 34:151-175.
41. Sagae, Kenji and Alon Lavie. 2005. A classifier-based parser with linear run-time complexity. In Proceedings of the 9th International Workshop on Parsing Technologies (IWPT), pages 125-132, Vancouver.
42. Sagae, Kenji and Alon Lavie. 2006. A best-first probabilistic shift-reduce parser. In Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pages 691-698, Sydney.
43. Sgall, Petr, Eva Hajičová, and Jarmila Panevová. 1986. The Meaning of the Sentence in Its Pragmatic Aspects. Reidel, Dordrecht.
44. Shieber, Stuart M. 1983. Sentence disambiguation by a shift-reduce parsing technique. In Proceedings of the 21st Conference on Association for Computational Linguistics (ACL), pages 113-118, Cambridge, MA.
45. Shieber, Stuart M., Yves Schabes, and Fernando C. N. Pereira. 1995. Principles and implementation of deductive parsing. Journal of Logic Programming, 24:3-36.
46. Tesnière, Lucien. 1959. Éléments de syntaxe structurale. Editions Klincksieck, Paris.
47. Yamada, Hiroyasu and Yuji Matsumoto. 2003. Statistical dependency analysis with support vector machines. In Proceedings of the 8th International Workshop on Parsing Technologies (IWPT), pages 195-206, Nancy.