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BestCut: a graph algorithm for coreference resolution

Published: 22 July 2006 Publication History

Abstract

In this paper we describe a coreference resolution method that employs a classification and a clusterization phase. In a novel way, the clusterization is produced as a graph cutting algorithm, in which nodes of the graph correspond to the mentions of the text, whereas the edges of the graph constitute the confidences derived from the coreference classification. In experiments, the graph cutting algorithm for coreference resolution, called BestCut, achieves state-of-the-art performance.

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Cited By

View all
  • (2017)Ontology-Based Entity Coreference Resolution For Sentiment AnalysisProceedings of the 8th International Symposium on Information and Communication Technology10.1145/3155133.3155168(50-56)Online publication date: 7-Dec-2017
  • (2014)A graph-based multi-level linguistic representation for document understandingPattern Recognition Letters10.5555/2748148.274852341:C(93-102)Online publication date: 1-May-2014
  • (2013)Random walks down the mention graphs for event coreference resolutionACM Transactions on Intelligent Systems and Technology (TIST)10.1145/2508037.25080554:4(1-20)Online publication date: 8-Oct-2013
  • Show More Cited By

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Published In

cover image DL Hosted proceedings
EMNLP '06: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
July 2006
648 pages
ISBN:1932432736

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Association for Computational Linguistics

United States

Publication History

Published: 22 July 2006

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EMNLP '06 Paper Acceptance Rate 73 of 234 submissions, 31%;
Overall Acceptance Rate 73 of 234 submissions, 31%

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Cited By

View all
  • (2017)Ontology-Based Entity Coreference Resolution For Sentiment AnalysisProceedings of the 8th International Symposium on Information and Communication Technology10.1145/3155133.3155168(50-56)Online publication date: 7-Dec-2017
  • (2014)A graph-based multi-level linguistic representation for document understandingPattern Recognition Letters10.5555/2748148.274852341:C(93-102)Online publication date: 1-May-2014
  • (2013)Random walks down the mention graphs for event coreference resolutionACM Transactions on Intelligent Systems and Technology (TIST)10.1145/2508037.25080554:4(1-20)Online publication date: 8-Oct-2013
  • (2010)A global relaxation labeling approach to coreference resolutionProceedings of the 23rd International Conference on Computational Linguistics: Posters10.5555/1944566.1944691(1086-1094)Online publication date: 23-Aug-2010
  • (2010)Streaming cross document entity coreference resolutionProceedings of the 23rd International Conference on Computational Linguistics: Posters10.5555/1944566.1944687(1050-1058)Online publication date: 23-Aug-2010
  • (2010)Evaluation metrics for end-to-end coreference resolution systemsProceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue10.5555/1944506.1944511(28-36)Online publication date: 24-Sep-2010
  • (2010)Inducing fine-grained semantic classes via hierarchical and collective classificationProceedings of the 23rd International Conference on Computational Linguistics10.5555/1873781.1873886(931-939)Online publication date: 23-Aug-2010
  • (2010)End-to-end coreference resolution via hypergraph partitioningProceedings of the 23rd International Conference on Computational Linguistics10.5555/1873781.1873798(143-151)Online publication date: 23-Aug-2010
  • (2010)Type level clustering evaluationProceedings of the Fourteenth Conference on Computational Natural Language Learning10.5555/1870568.1870579(77-87)Online publication date: 15-Jul-2010
  • (2010)Graph-based clustering for computational linguisticsProceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing10.5555/1870490.1870491(1-9)Online publication date: 16-Jul-2010
  • Show More Cited By

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