Using existing systems to supplement small amounts of annotated grammatical relations training data

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2000-October, Issue , 2000, Pages

  Yeh, Alexander ^a  

^a MITRE CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS;

EXISTING SYSTEMS; GRAMMATICAL RELATIONS; LANGUAGE PROCESSING; NATURAL LANGUAGES; PERFORMANCE; RULE LEARNERS; SMALL TRAINING; TRAINING CORPUS; TRAINING DATA; TRANSFORMATION RULES;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85149141510     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. S. Aït-Mokhtar and J.-P. Chanod. 1997. Subject and object dependency extraction using finite-state transducers. In Proc. ACL workshop on automatic information extraction and building of lexical semantic resources for NLP applications, Madrid.
2. E. Brill and P. Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. In 15th International Conf. on Computational Linguistics (COLING).
3. E. Brill and J. Wu. 1998. Classifier combination for improved lexical disambiguation. In COLING-ACL'98, pages 191-195, Montreal, Canada.
4. S. Buchholz, J. Veenstra, and W. Daelemans. 1999. Cascaded grammatical relation assignment. In Joint SIGDAT Conference on Empirical Methods in NLP and Very Large Corpora (EMNLP/VLC'99). cs.CL/9906004.
5. J. Carroll, T. Briscoe, N. Calzolari, S. Federici, S. Montemagni, V. Pirrelli, G. Grefenstette, A. Sanfilippo, G. Carroll, and M. Rooth. 1997. Sparkle work package 1, specification of phrasal parsing, final report. Available at http://www.ilc.pi.cnr.it/-sparkle/sparkle.htm, November.
6. J. Carroll, G. Minnen, and T. Briscoe. 1999. Corpus annotation for parser evaluation. In EACL99 workshop on Linguistically Interpreted Corpora (LINC'99). cs.CL/9907013.
7. P. Cohen. 1995. Empirical Methods for Artificial Intelligence. MIT Press, Cambridge, MA, USA.
8. L. Ferro, M. Vilain, and A. Yeh. 1999. Learning transformation rules to find grammatical relations. In Computational natural language learning (CoNLL-99), pages 43-52. EACL'99 workshop, cs.CL/9906015.
9. D. Harnett. 1982. Statistical Methods. Addison-Wesley Publishing Co., Reading, MA, USA, third edition.
10. J. Henderson and E. Brill. 1999. Exploiting diversity in natural language processing: combining parsers. In Joint SIGDAT Conference on Empirical Methods in NLP and Very Large Corpora (EMNLP/VLC'99).
11. R. Hwa. 1999. Supervised grammar induction using training data with limited constituent information. In ACL'99. cs.CL/9905001.
12. R. Kaplan. 1994. The formal architecture of lexical-functional grammar. In M. Dalrymple, R. Kaplan, J. Maxwell III, and A. Zaenen, editors, Formal issues in lexical-functional grammar. Stanford University.
13. M. Marcus, B. Santorini, and M. Marcinkiewicz. 1993. Building a large annotated corpus of english: the penn treebank. Computational Linguistics, 19(2).
14. M. Palmer, R. Passonneau, C. Weir, and T. Finin. 1993. The kernel text understanding system. Artificial Intelligence, 63:17-68.
15. D. Palmer. 1997. A trainable rule-based algorithm for word segmentation. In Proceedings of ACL/EACL97.
16. D. Perlmutter. 1983. Studies in Relational Grammar 1. U. Chicago Press.
17. H. van Halteren, J. Zavrel, and W. Daelemans. 1998. Improving data driven wordclass tagging by system combination. In COLING-ACL'98, pages 491-497, Montreal, Canada.
18. Y. Wilkes and M. Stevenson. 1998. Word sense disambiguation using optimized combinations of knowledge sources. In COLING-ACL'98, pages 1398-1402, Montreal, Canada.