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Candidate Searching and Key Coreference Resolution for Wikification

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Published:04 January 2016Publication History

ABSTRACT

Wikification is the task to link textual mentions in a document to articles in Wikipedia. It comprises three main steps, namely, mention recognition, candidate generation, and entity linking. For candidate generation, existing methods use hyperlinks in Wikipedia or match a mention of discourse to Wikipedia article titles. They may miss the correct target entity and thus fail to link the mention to Wikipedia. In this paper, we propose to use a mention as a query and Wikipedia own search engine to look for additional candidate articles. Moreover, for entity linking, we introduce new coreference heuristics and apply the incremental liking approach. The conducted experiments show that our proposed method outperforms or achieves competitive results in comparison to some state-of-the-art systems, but is simpler and uses less features.

References

  1. Bunescu, R. C. and Pasca, M. 2006. Using encyclopedic knowledge for named entity disambiguation. In Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics, 9--16.Google ScholarGoogle Scholar
  2. Cheng, X. and Roth, D. 2013. Relational inference for wikification. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 1787--1796.Google ScholarGoogle Scholar
  3. Cucerzan, S. 2007. Large-scale named entity disambiguation based on wikipedia data. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 708--716.Google ScholarGoogle Scholar
  4. Dredze, M., McNamee, P., Rao, D., Gerber, A., and Finin, T. 2010. Entity disambiguation for knowledge base population. In Proceedings of the 23rd International Conference on Computational Linguistics, 277--285. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Huynh, H. M., Nguyen, T. T., and Cao, T. H. 2013. Using coreference and surrounding contexts for entity linking. In Proceedings of the 9th International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future, 1--5.Google ScholarGoogle Scholar
  6. Ellis, J. 2010. Overview of the TAC 2010 knowledge base population track. In Proceedings of 3rd Text Analysis Conference.Google ScholarGoogle Scholar
  7. Mihalcea, R. and Csomai, A. 2007. Wikify: linking documents to encyclopedic knowledge. In Proceedings of the 16th ACM conference on Conference on Information and Knowledge Management, 233--242. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Milne, D. and Witten, I. H. 2008. Learning to link with wikipedia. In Proceedings of the 17th ACM conference on Information and Knowledge Management, 509--518. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Nguyen, H. T. and Cao, T. H. 2012. Named entity disambiguation: A hybrid statistical and rule-based incremental approach. International Journal of Computational Intelligence Systems, 5 (6), 1052--1067.Google ScholarGoogle ScholarCross RefCross Ref
  10. Raghunathan, K., Lee, H., Rangarajan, S., Chambers, N., Surdeanu, M., Jurafsky, D., and Manning, C. 2010. A multi-pass sieve for coreference resolution. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 492--501. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Ratinov, L., Roth, D., Downey, D., and Anderson, M. 2011. Local and global algorithms for disambiguation to wikipedia. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 1375--1384. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Zhang, W., Su, J., and Tan, C. L. 2011. A wikipedia-LDA model for entity linking with batch size changing instance selection. In Proceedings of 5th International Joint Conference on Natural Language Processing, 562--570.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        IMCOM '16: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication
        January 2016
        658 pages
        ISBN:9781450341424
        DOI:10.1145/2857546

        Copyright © 2016 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 4 January 2016

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        Overall Acceptance Rate213of621submissions,34%

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