MaltParser: A data-driven parser-generator for dependency parsing

Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2006

Volumn , Issue , 2006, Pages 2216-2219

  Nivre, Joakim ^a   Hall, Johan ^a   Nilsson, Jens ^a  

^a LINNAEUS UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EDUCATION; FORESTRY;

DATA DRIVEN; DEPENDENCY PARSING; LEXICAL FEATURES; PARSER GENERATORS; PARSING ALGORITHM; PART OF SPEECH; TREEBANKS; USER-DEFINED FEATURES;

COMPUTATIONAL LINGUISTICS;

EID: 84949890107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. E. Black, F. Jelinek, J. Lafferty, D. Magerman, R. Mercer, and S. Roukos. 1992. Towards history-based grammars: Using richer models for probabilistic parsing. In Proceedings of the 5th DARPA Speech and Natural Language Workshop, pages 31-37.
2. Chih-Chung Chang and Chih-Jen Lin, 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
3. Michael Collins. 1999. Head-Driven Statistical Models for Natural Language Parsing. Ph.D. thesis, University of Pennsylvania.
4. Michael A. Covington. 2001. A fundamental algorithm for dependency parsing. In Proceedings of the 39th Annual ACM Southeast Conference, pages 95-102.
5. Walter Daelemans and Antal Van den Bosch. 2005. Memory-Based Language Processing. Cambridge University Press.
6. David M. Magerman. 1995. Statistical decision-tree models for parsing. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL), pages 276-283.
7. Joakim Nivre and Johan Hall. 2005. MaltParser: A language-independent system for data-driven dependency parsing. In Proceedings of the Fourth Workshop on Treebanks and Linguistic Theories (TLT).
8. Joakim Nivre, Johan Hall, and Jens Nilsson. 2004. Memory-based dependency parsing. In Hwee Tou Ng and Ellen Riloff, editors, Proceedings of the 8th Conference on Computational Natural Language Learning (CoNLL), pages 49-56.
9. Joakim Nivre. 2003. An efficient algorithm for projective dependency parsing. In Gertjan Van Noord, editor, Proceedings of the 8th International Workshop on Parsing Technologies (IWPT), pages 149-160.
10. Joakim Nivre. 2004. Incrementality in deterministic dependency parsing. In Frank Keller, Stephen Clark, Matthew Crocker, and Mark Steedman, editors, Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together (ACL), pages 50-57.
11. Joakim Nivre. 2005. Inductive Dependency Parsing of Natural Language Text. Ph.D. thesis, Växjö University.
12. Adwait Ratnaparkhi. 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.
13. Hiroyasu Yamada and Yuji Matsumoto. 2003. Statistical dependency analysis with support vector machines. In Gertjan Van Noord, editor, Proceedings of the 8th International Workshop on Parsing Technologies (IWPT), pages 195-206.