Construction of Context Models for Word Sense Disambiguation

Author:

Brosseau-Villeneuve Bernard,Kando Noriko,Nie Jian-Yun

Publisher

Association for Natural Language Processing

Reference23 articles.

1.  Bai, J., Song, D., Bruza, P., Nie, J.-Y., and Cao, G. (2005). “Query Expansion using Term Relationships in Language Models for Information Retrieval.” In CIKM ’05 Proceedings, pp. 688–695, New York, NY, USA. ACM.

2.  Blei, D. M., Ng, A. Y., and Jordan, M. I. (2003). “Latent dirichlet allocation.” Journal of Lachine Learning Research, 3, pp. 993–1022.

3.  Brosseau-Villeneuve, B., Kando, N., and Nie, J.-Y. (2010a). “RALI: Automatic Weighting of Text Window Distances.” In Proceedings of the 5th International Workshop on Semantic Evaluation, pp. 375–378, Uppsala, Sweden. Association for Computational Linguistics.

4.  Brosseau-Villeneuve, B., Nie, J.-Y., and Kando, N. (2010b). “Towards an Optimal Weighting of Context Words Based on Distance.” In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pp. 107–115, Beijing, China. Coling 2010 Organizing Committee.

5.  Cai, J. F., Lee, W. S., and Teh, Y. W. (2007). “NUS-ML: Improving Word Sense Disambiguation using Topic Features.” In SemEval ’07 Proceedings, pp. 249–252, Morristown, NJ, USA. Association for Computational Linguistics.

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1. On the Influence of Contextual Features for the Identification of Complex Words;International Journal of Semantic Computing;2017-12

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