emnlp emnlp2013 emnlp2013-69 emnlp2013-69-reference knowledge-graph by maker-knowledge-mining
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Author: Zhengyan He ; Shujie Liu ; Yang Song ; Mu Li ; Ming Zhou ; Houfeng Wang
Abstract: Entity disambiguation works by linking ambiguous mentions in text to their corresponding real-world entities in knowledge base. Recent collective disambiguation methods enforce coherence among contextual decisions at the cost of non-trivial inference processes. We propose a fast collective disambiguation approach based on stacking. First, we train a local predictor g0 with learning to rank as base learner, to generate initial ranking list of candidates. Second, top k candidates of related instances are searched for constructing expressive global coherence features. A global predictor g1 is trained in the augmented feature space and stacking is employed to tackle the train/test mismatch problem. The proposed method is fast and easy to implement. Experiments show its effectiveness over various algorithms on several public datasets. By learning a rich semantic relatedness measure be- . tween entity categories and context document, performance is further improved.
B. Bai, J. Weston, D. Grangier, R. Collobert, O. Chapelle, and K. Weinberger. 2009. Supervised semantic indexing. In The 18th ACM Conference on Information and Knowledge Management (CIKM). R. Bunescu and M. Pasca. 2006. Using encyclopedic knowledge for named entity disambiguation. In Proceedings of EACL, volume 6, pages 9–16. S. Cucerzan. 2007. Large-scale named entity disambiguation based on wikipedia data. In Proceedings of EMNLP-CoNLL, volume 6, pages 708–716. X. Han, L. Sun, and J. Zhao. 2011. Collective entity linking in web text: a graph-based method. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, pages 765–774. ACM. J. Hoffart, M.A. Yosef, I. Bordino, H. F ¨urstenau, M. Pinkal, M. Spaniol, B. Taneva, S. Thater, and G. Weikum. 2011. Robust disambiguation of named entities in text. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 782–792. Association for Computational Linguistics. Heng Ji, Ralph Grishman, Hoa Trang Dang, Kira Griffitt, and Joe Ellis. 2011. Overview of the tac 2011 knowledge base population track. In Proceedings of the Fourth Text Analysis Conference. Thorsten Joachims. 2002. Optimizing search engines using clickthrough data. In Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 133–142. ACM. S.S. Kataria, K.S. Kumar, R. Rastogi, P. Sen, and S.H. Sengamedu. 2011. Entity disambiguation with hierar- chical topic models. In Proceedings of KDD. Zhenzhen Kou and William W Cohen. 2007. Stacked graphical models for efficient inference in markov random fields. In SDM. S. Kulkarni, A. Singh, G. Ramakrishnan, and S. Chakrabarti. 2009. Collective annotation of wikipedia entities in web text. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 457–466. ACM. J. Lehmann, S. Monahan, L. Nezda, A. Jung, and Y. Shi. 2010. Lcc approaches to knowledge base population at tac 2010. In Proc. TAC 2010 Workshop. F. Li, Z. Zheng, F. Bu, Y. Tang, X. Zhu, and M. Huang. 2009. Thu quanta at tac 2009 kbp and rte track. In Proceedings of Test Analysis Conference 2009 (TAC 09). Andr e´ FT Martins, Dipanjan Das, Noah A Smith, and Eric P Xing. 2008. Stacking dependency parsers. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 157–166. Association for Computational Linguistics. D. Milne and I.H. Witten. 2008. Learning to link with wikipedia. In Proceedings of the 17th ACM conference on Information and knowledge management, pages 509–518. ACM. L. Ratinov, D. Roth, D. Downey, and M. Anderson. 2011. Local and global algorithms for disambiguation to wikipedia. In Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL). P. Sen. 2012. Collective context-aware topic models for entity disambiguation. In Proceedings of the 21st 435 international conference on World Wide Web, pages 729–738. ACM. M. Shirakawa, H. Wang, Y. Song, Z. Wang, K. Nakayama, T. Hara, and S. Nishio. 2011. Entity disambiguation based on a probabilistic taxonomy. Technical report, Technical Report MSR-TR-201 1-125, Microsoft Research. N.A. Smith and J. Eisner. 2005. Contrastive estimation: Training log-linear models on unlabeled data. In Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pages 354–362. Association for Computational Linguistics. Weiwei Sun. 2011. A stacked sub-word model for joint chinese word segmentation and part-of-speech tagging. In ACL, pages 1385–1394. David H Wolpert. 1992. Stacked generalization. Neural networks, 5(2):241–259. Zhicheng Zheng, Fangtao Li, Minlie Huang, and Xiaoyan Zhu. 2010. Learning to link entities with knowledge base. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 483–491, Los Angeles, California, June. Association for Computational Linguistics.