Together we can: Bilingual bootstrapping for WSD

ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

Volumn 1, Issue , 2011, Pages 561-569

  Khapra, Mitesh M ^a   Joshi, Salil ^a   Chatterjee, Arindam ^a   Bhattacharyya, Pushpak ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATION WORK; BOOTSTRAPPING ALGORITHM; DIFFERENT DOMAINS; HIGH CONFIDENCE; LANGUAGE PAIRS; PARAMETER PROJECTION; RESOURCE-RICH; SEED SIZE;

NATURAL RESOURCES;

COMPUTATIONAL LINGUISTICS;

EID: 84859081235     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Eneko Agirre and German Rigau. 1996. Word sense disambiguation using conceptual density. In In Proceedings of the 16th International Conference on Computational Linguistics (COLING).
2. Avrim Blum and Tom Mitchell. 1998. Combining labeled and unlabeled data with co-training. pages 92-100. Morgan Kaufmann Publishers.
3. Mitesh M. Khapra, Sapan Shah, Piyush Kedia, and Pushpak Bhattacharyya. 2009. Projecting parameters for multilingual word sense disambiguation. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pages 459-467, Singapore, August. Association for Computational Linguistics.
4. Mitesh Khapra, Saurabh Sohoney, Anup Kulkarni, and Pushpak Bhattacharyya. 2010. Value for money: Balancing annotation effort, lexicon building and accuracy for multilingual wsd. In Proceedings of the 23rd International Conference on Computational Linguistics.
5. Yoong Keok Lee, Hwee Tou Ng, and Tee Kiah Chia. 2004. Supervised word sense disambiguation with support vector machines and multiple knowledge sources. In Proceedings of Senseval-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, pages 137-140.
6. Michael Lesk. 1986. Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone. In In Proceedings of the 5th annual international conference on Systems documentation.
7. Hang Li and Cong Li. 2004. Word translation disambiguation using bilingual bootstrapping. Comput. Linguist., 30:1-22,March. (Pubitemid 38549031)
8. Diana McCarthy, Rob Koeling, Julie Weeds, and John Carroll. 2004. Finding predominant word senses in untagged text. In ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, page 279, Morristown, NJ, USA. Association for Computational Linguistics.
9. Rada Mihalcea. 2005. Large vocabulary unsupervised word sense disambiguation with graph-based algorithms for sequence data labeling. In In Proceedings of the Joint Human Language Technology and Empirical Methods in Natural Language Processing Conference (HLT/EMNLP), pages 411-418.
10. Rajat Mohanty, Pushpak Bhattacharyya, Prabhakar Pande, Shraddha Kalele, Mitesh Khapra, and Aditya Sharma. 2008. Synset based multilingual dictionary: Insights, applications and challenges. In GlobalWordnet Conference.
11. Hwee Tou Ng and Hian Beng Lee. 1996. Integrating multiple knowledge sources to disambiguate word senses: An exemplar-based approach. In In Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics (ACL), pages 40-47.
12. D. Walker and R. Amsler. 1986. The use of machine readable dictionaries in sublanguage analysis. In In Analyzing Language in Restricted Domains, Grishman and Kittredge (eds), LEA Press, pages 69-83.
13. David Yarowsky. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of the 33rd annual meeting on Association for Computational Linguistics, pages 189-196, Morristown, NJ, USA. Association for Computational Linguistics.