Unsupervised parsing with U-DOP

CoNLL 2006 - Proceedings of the 10th Conference on Computational Natural Language Learning

Volumn , Issue , 2006, Pages 85-92

  Bod, Rens ^a  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SYNTACTICS;

GENERALISATION; PARSE TREES; REDUCTION TECHNIQUES; SUB TREES; WALL STREET JOURNAL;

BINARY TREES;

EID: 85117694443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Bod, R. 1998. Beyond Grammar: An Experience-Based Theory of Language, Stanford: CSLI Publications (Lecture notes number 88), distributed by Cambridge University Press.
2. Bod, R. 2000. An improved parser for data-oriented lexical-functional analysis. Proceedings ACL'2000, Hong Kong.
3. Bod, R. 2002. A unified model of structural organization in language and music. Journal of Artificial Intelligence Research 17(2002), 289-308.
4. Bod, R., R. Scha and K. Sima'an (eds.) 2003. Data-Oriented Parsing. CSLI Publications/University of Chicago Press.
5. Bod, R. 2003. An efficient implementation of a new DOP model. Proceedings EACL'2003, Budapest.
6. Bod, R. 2006. Exemplar-based syntax: How to get productivity from examples? The Linguistic Review 23(3), Special Isssue on Exemplar-Based Models in Linguistics.
7. Charniak, E. and M. Johnson 2005. Coarse-to-fine n-best parsing and Max-Ent discriminative reranking. Proceedings ACL'2005, Ann-Arbor.
8. Clark, A. 2000. Inducing syntactic categories by context distribution clustering. Proceedings CONLL'2000.
9. Clark, A. 2001. Unsupervised induction of stochastic context-free grammars using distributional clustering. Proceedings CONLL'2001.
10. Collins, M. and N. Duffy 2002. New ranking algorithms for parsing and tagging: kernels over discrete structures, and the voted perceptron. Proceedings ACL'2002, Philadelphia.
11. Goodman, J. 2003. Efficient algorithms for the DOP model. In R. Bod, R. Scha and K. Sima'an (eds.). Data-Oriented Parsing, The University of Chicago Press.
12. Huang, L. and Chiang D. 2005. Better k-best parsing. Proceedings IWPT'2005, Vancouver.
13. Johnson, M. 2002. The DOP estimation method is biased and inconsistent. Computational Linguistics 28, 71-76.
14. Klein, D. 2005. The Unsupervised Learning of Natural Language Structure. PhD thesis, Stanford University.
15. Klein, D. and C. Manning 2002. A general constituent-context model for improved grammar induction. Proceedings ACL'2002, Philadelphia.
16. Klein, D. and C. Manning 2004. Corpus-based induction of syntactic structure: models of dependency and constituency. Proceedings ACL'2004, Barcelona.
17. Klein, D. and C. Manning 2005. Natural language grammar induction with a generative constituent-context model. Pattern Recognition 38, 1407-1419.
18. Schütze, H. 1995. Distributional part-of-speech tagging. Proceedings ACL'1995, Dublin.
19. Sima'an, K. 1996. Computational complexity of probabilistic disambiguation by means of tree grammars. Proceedings COLING'1996, Copenhagen.
20. Skut, W., B. Krenn, T. Brants and H. Uszkoreit 1997. An annotation scheme for free word order languages. Proceedings ANLP'97.
21. Xue, N., F. Chiou and M. Palmer 2002. Building a large-scale annotated Chinese corpus. Proceedings COLING 2002, Taipei.
22. van Zaanen, M. 2000. ABL: Alignment-Based Learning. Proceedings COLING'2000, Saarbrücken.
23. Zollmann, A. and K. Sima'an 2005. A consistent and efficient estimator for data-oriented parsing. Journal of Automata, Languages and Combinatorics, in press.
24. Zuidema, W. 2006. Theoretical evaluation of estimation methods for data-oriented parsing. Proceedings EACL'2006, Trento.