The web as a baseline: Evaluating the performance of unsupervised web-based models for a range of NLP tasks

HLT-NAACL 2004 - Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2004, Pages 121-128

  Lapata, Mirella ^a   Keller, Frank ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS; WEBSITES;

BIGRAMS; CANDIDATE SELECTION; DATA SET; LARGE CORPORA; MACHINE TRANSLATIONS; N-GRAMS; PERFORMANCE; SIMPLE++; STATE OF THE ART; WEB-BASED MODELING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 33645435334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Baldwin, Timothy and Francis Bond. 2003. Learning the countability of English nouns from corpus data. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics. Sapporo, Japan, pages 463–470.
2. Banko, Michele and Eric Brill. 2001a. Mitigating the paucity-of-data problem: Exploring the effect of training corpus size on classifier performance for natural language processing. In James Allan, editor, Proceedings of the 1st International Conference on Human Language Technology Research. Morgan Kaufmann, San Francisco.
3. Banko, Michele and Eric Brill. 2001b. Scaling to very very large corpora for natural language disambiguation. In Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics. Toulouse, France.
4. Burnard, Lou. 1995. The Users Reference Guide for the British National Corpus. British National Corpus Consortium, Oxford University Computing Service.
5. Corley, Steffan, Martin Corley, Frank Keller, Matthew W. Crocker, and Shari Trewin. 2001. Finding syntactic structure in unparsed corpora: The Gsearch corpus query system. Computers and the Humanities 35(2):81–94.
6. Cucerzan, Silviu and David Yarowsky. 2002. Augmented mixture models for lexical disambiguation. In Jan Hajič and Yuji Matsumoto, editors, Proceedings of the Conference on Empirical Methods in Natural Language Processing. Philadelphia, PA, pages 33–40.
7. Dagan, Ido and Alon Itai. 1994. Machine translation divergences: A formal description and proposed solution. Computational Linguistics 20(4):563–597.
8. Golding, Andrew R. 1995. A Bayesian hybrid method for context-sensitive spelling correction. In David Yarowsky and Kenneth W. Church, editors, Proceedings of the 3rd Workshop on Very Large Corpora. Cambridge, MA, pages 39–53.
9. Golding, Andrew R. and Dan Roth. 1999. A winnow-based approach to context sensitive spelling correction. Machine Learning 34(1–3):1–25.
10. Golding, Andrew R. and Yves Schabes. 1996. Combining trigram-based and feature-based methods for context-sensitive spelling correction. In Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics. Santa Cruz, CA, pages 71–78.
11. Grefenstette, Gregory. 1998. The World Wide Web as a resource for example-based machine translation tasks. In Proceedings of the ASLIB Conference on Translating and the Computer. London.
12. Grishman, Ralph, Catherine Macleod, and Adam Meyers. 1994. COMLEX syntax: Building a computational lexicon. In Proceedings of the 15th International Conference on Computational Linguistics. Kyoto, Japan, pages 268–272.
13. Ikehara, Satoru, Satoshi Shirai, Akio Yokoo, and Hiromi Nakaiwa. 1991. Toward an MT system without pre-editing effects of new methods in ALT-J/E. In Proceedings of the Third Machine Translation Summit. Washington, DC, pages 101–106.
14. Jones, Michael P. and James H. Martin. 1997. Contextual spelling correction using latent semantic analysis. In Proceedings of the 5th Conference on Applied Natural Language Processing. Washington, DC, pages 166–173.
15. Keller, Frank and Mirella Lapata. 2003. Using the web to obtain frequencies for unseen bigrams. Computational Linguistics 29(3):459–484.
16. Lauer, Mark. 1995. Corpus statistics meet the noun compound: Some empirical results. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics. Cambridge, MA, pages 47–54.
17. Malouf, Robert. 2000. The order of prenominal adjectives in natural language generation. In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics. Hong Kong, pages 85–92.
18. Mangu, Lidia and Eric Brill. 1997. Automatic rule acquisition of spelling correction. In Proceedings of the 14th International Conference on Machine Learning. Nashville, Tennessee, pages 187–194.
19. Marcus, Mitchell P., Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn treebank. Computational Linguistics 19(2):313–330.
20. Prescher, Detlef, Stefan Riezler, and Mats Rooth. 2000. Using a probabilistic class-based lexicon for lexical ambiguity resolution. In Proceedings of the 18th International Conference on Computational Linguistics. Saarbrücken, Germany, pages 649–655.
21. Pustejovsky, James, Sabine Bergler, and Peter Anick. 1993. Lexical semantic techniques for corpus analysis. Computational Linguistics 19(3):331–358.
22. Resnik, Philip Stuart. 1993. Selection and Information: A Class-Based Approach to Lexical Relationships. Ph.D. thesis, University of Pennsylvania.
23. Shaw, James and Vassilis Hatzivassiloglou. 1999. Ordering among premodifiers. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics. College Park, MD, pages 135–143.