Supersense tagging of unknown nouns using semantic similarity

ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2005, Pages 26-33

  Curran, James R ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS;

LEXICAL SEMANTICS; NLP SYSTEMS; PARSED CORPORA; SEMANTIC CATEGORY; SEMANTIC SIMILARITY; SPACE SEMANTICS; TRAINING EXAMPLE; UNSUPERVISED APPROACHES;

VECTOR SPACES;

EID: 84859921215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1219840.1219844     Document Type: Conference Paper

References (27)

1. L. Douglas Baker and Andrew McCallum. 1998. Distributional clustering of words for text classification. In Proceedings of the 21st annual international ACM SIGIR conference on Research and Development in Information Retrieval, pages 96-103, Melbourne, Australia.
2. Doug Beeferman. 1998. Lexical discovery with an enriched semantic network. In Proceedings of the Workshop on Usage of WordNet in Natural Language Processing Systems, pages 358-364, Montréal, Québec, Canada.
3. Thorsten Brants. 2000. TnT - a statistical part-of-speech tagger. In Proceedings of the 6th Applied Natural Language Processing Conference, pages 224-231, Seattle, WA USA.
4. Anita Burgun and Olivier Bodenreider. 2001. Comparing terms, concepts and semantic classes in WordNet and the Unified Medical Language System. In Proceedings of the Workshop on WordNet and Other Lexical Resources: Applications, Extensions and Customizations, pages 77-82, Pittsburgh, PA USA.
5. Sharon A. Caraballo and Eugene Charniak. 1999. Determining the specificity of nouns from text. In Proceedings of the Joint ACL SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pages 63-70, College Park, MD USA.
6. Massimiliano Ciaramita and Mark Johnson. 2003. Supersense tagging of unknown nouns in WordNet. In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, pages 168-175, Sapporo, Japan.
7. Massimiliano Ciaramita, Thomas Hofmann, and Mark Johnson. 2003. Hierarchical semantic classification: Word sense disambiguation with world knowledge. In Proceedings of the 18th International Joint Conference on Artificial Intelligence, Acapulco, Mexico.
8. Massimiliano Ciaramita. 2002. Boosting automatic lexical acquisition with morphological information. In Proceedings of the Workshop on Unsupervised Lexical Acquisition, pages 17-25, Philadelphia, PA, USA.
9. Stephen Clark and David Weir. 2002. Class-based probability estimation using a semantic hierarchy. Computational Linguistics, 28(2):187-206, June.
10. Koby Crammer and Yoram Singer. 2001. Ultraconservative online algorithms for multiclass problems. In Proceedings of the 14th annual Conference on Computational Learning Theory and 5th European Conference on Computational Learning Theory, pages 99-115, Amsterdam, The Netherlands. (Pubitemid 33312817)
11. James R. Curran and Stephen Clark. 2003. Investigating GIS and smoothing for maximum entropy taggers. In Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics, pages 91-98, Budapest, Hungary.
12. James R. Curran and Marc Moens. 2002a. Improvements in automatic thesaurus extraction. In Proceedings of the Workshop on Unsupervised Lexical Acquisition, pages 59-66, Philadelphia, PA, USA.
13. James R. Curran and Marc Moens. 2002b. Scaling context space. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics, pages 231-238, Philadelphia, PA, USA.
14. Christiane Fellbaum, editor. 1998. WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA USA.
15. Gregory Grefenstette. 1994. Explorations in Automatic Thesaurus Discovery. Kluwer Academic Publishers, Boston, MA USA.
16. Marti A. Hearst and Hinrich Schütze. 1993. Customizing a lexicon to better suit a computational task. In Proceedings of the Workshop on Acquisition of Lexical Knowledge from Text, pages 55-69, Columbus, OH USA.
17. Rob Koeling. 2000. Chunking with maximum entropy models. In Proceedings of the 4th Conference on Computational Natural Language Learning and of the 2nd Learning Language in Logic Workshop, pages 139-141, Lisbon, Portugal.
18. Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1994. Building a large annotated corpus of English: the Penn Treebank. Computational Linguistics, 19(2):313-330.
19. Guido Minnen, John Carroll, and Darren Pearce. 2001. Applied morphological processing of English. Natural Language Engineering, 7(3):207-223.
20. Tom Morton. 2002. Grok tokenizer. Grok OpenNLP toolkit.
21. Marius Pasca and Sanda M. Harabagiu. 2001. The informative role of WordNet in open-domain question answering. In Proceedings of the Workshop on WordNet and Other Lexical Resources: Applications, Extensions and Customizations, pages 138-143, Pittsburgh, PA USA.
22. Darren Pearce. 2001. Synonymy in collocation extraction. In Proceedings of the Workshop on WordNet and Other Lexical Resources: Applications, Extensions and Customizations, pages 41-46, Pittsburgh, PA USA.
23. Philip Resnik. 1995. Using information content to evaluate semantic similarity. In Proceedings of the 14th International Joint Conference on Artificial Intelligence, pages 448-453, Montreal, Canada.
24. Jeffrey C. Reynar and Adwait Ratnaparkhi. 1997. A maximum entropy approach to identifying sentence boundaries. In Proceedings of the Fifth Conference on Applied Natural Language Processing, pages 16-19,Washington, D.C. USA.
25. Hinrich Schütze. 1992. Context space. In Intelligent Probabilistic Approaches to Natural Language, number FS-92-04 in Fall Symposium Series, pages 113-120, Stanford University, CA USA.
26. Dominic Widdows. 2003. Unsupervised methods for developing taxonomies by combining syntactic and statistical information. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, pages 276-283, Edmonton, Alberta Canada.
27. David Yarowsky. 1992. Word-sense disambiguation using statistical models of Roget's categories trained on large corpora. In Proceedings of the 14th international conference on Computational Linguistics, pages 454-460, Nantes, France.