A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model
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[1] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[2] Ben Taskar,et al. Max-Margin Markov Networks , 2003, NIPS.
[3] Claire Gardent,et al. Improving Machine Learning Approaches to Coreference Resolution , 2002, ACL.
[4] Richard M. Schwartz,et al. An Algorithm that Learns What's in a Name , 1999, Machine Learning.
[5] Hwee Tou Ng,et al. A Machine Learning Approach to Coreference Resolution of Noun Phrases , 2001, CL.
[6] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.
[7] Daniel Marcu,et al. Learning as search optimization: approximate large margin methods for structured prediction , 2005, ICML.
[8] Ted Dunning,et al. Accurate Methods for the Statistics of Surprise and Coincidence , 1993, CL.
[9] Patrick Pantel,et al. Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering , 2005, ACL.
[10] Claudio Gentile,et al. A New Approximate Maximal Margin Classification Algorithm , 2002, J. Mach. Learn. Res..
[11] Eduard H. Hovy,et al. Offline Strategies for Online Question Answering: Answering Questions Before They Are Asked , 2003, ACL.
[12] Andrew McCallum,et al. Collective Segmentation and Labeling of Distant Entities in Information Extraction , 2004 .
[13] Xiaoqiang Luo,et al. A Statistical Model for Multilingual Entity Detection and Tracking , 2004, NAACL.