Abstract
In this paper, we consider the coreference resolution problem in the context of information extraction as envisioned by the DARPA Automatic Content Extraction (ACE) program. Given a set of entity mentions referring to real world entities and a similarity matrix that characterizes how similar those mentions are, we seek a set of entities that are uniquely co-referred to by those entity mentions. The quality of the clustering of entity mentions into unique entities significantly depends on the quality of (1) the similarity matrix and (2) the clustering algorithm. We explore the coreference resolution problem along those two dimensions and clearly show the tradeoff among several ways of learning similarity matrix and using it while performing clustering.
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References
Bansal, N., Blum, A., Chawla, S.: Correlation clustering. In: The 43rd Annual Symposium on Foundations of Computer Science (FOCS) (2002)
Cardie, C., Wagstaff, K.: Noun phrase coreference as clustering. In: Proc. of Empirical Methods in Natural Language Processing (1999)
Daume III, H., Marcu, D.: A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model. In: Proc. of Human Language Technology Conference (2005)
Li, X., Roth, D.: Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification. In: Proc. of the Annual Conference on Computational Natural Language Learning (CoNLL) (2005)
Luo, X., Ittycheriah, A., Jing, H., Kambhatla, N., Roukos, S.: A Mention-Synchronous Coreference Resolution Algorithm Based on the Bell Tree. In: Proc. Of the Association for Computational Linguistics (2004)
McCallum, A., Wellner, B.: Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference. In: IJCAI Workshop on Information Integration on the Web (2003)
McCarthy, J.F., Lehner, W.G.: Using Decision Trees for Coreference Resolution. In: Proc. Of the International Cofereence on Artificial Intelligent (1995)
Morton, T.S.: Coreference for NLP Applications. In: Proc. Of the Association for Computational Linguistics (2000)
Ng, V., Cardie, C.: Improving Machine Learning Approaches to Coreference Resolution. In: Proc. Of the Association for Computational Linguistics (2002)
Soon, W.M., Ng, H.T., Lim, C.Y.: A Machine Learning Approach to Coreference Resolution of Noun Phrases. Computational Linguistics (2001)
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© 2006 Springer-Verlag Berlin Heidelberg
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Chen, Y., Hacioglu, K. (2006). Exploration of Coreference Resolution: The ACE Entity Detection and Recognition Task. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_38
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DOI: https://doi.org/10.1007/11846406_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39090-9
Online ISBN: 978-3-540-39091-6
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