Entity Linking: Finding Extracted Entities in a Knowledge Base

Author:

Rao Delip,McNamee Paul,Dredze Mark

Publisher

Springer Berlin Heidelberg

Reference49 articles.

1. Sang, E.T.K., Meulder, F.D.: Introduction to the conll-2003 shared task: language-independent named entity recognition. In: Conference on Natural Language Learning (CONLL), Edmonton. The Association for Computational Linguistics, Stroudsburg (2003)

2. Asahara, M., Matsumoto, Y.: Japanese named entity extraction with redundant morphological analysis. In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - vol. 1, NAACL ’03, Stroudsburg, pp. 8–15. Association for Computational Linguistics, Stroudsburg (2003)

3. McCallum, A., Li, W.: Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons. In: Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - vol. 4, CONLL ’03, Stroudsburg, pp. 188–191. Association for Computational Linguistics, Stroudsburg (2003)

4. Collins, M., Singer, Y.: Unsupervised models for named entity classification. In: In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, College Park, pp. 100–110. Association for Computational Linguistics, New Brunswick (1999)

5. Cucerzan, S., Yarowsky, D.: Language independent ner using a unified model of internal and contextual evidence. In: Proceedings of the 6th Conference on Natural Language Learning - vol. 20, COLING-02, Stroudsburg, pp. 1–4. Association for Computational Linguistics, Stroudsburg (2002)

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