Gender and Animacy Knowledge Discovery from Web-Scale N-Grams for Unsupervised Person Mention Detection
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Heng Ji | Dekang Lin | Dekang Lin | Heng Ji
[1] Constantin Orasan,et al. Improving anaphora resolution by identifying animate entities in texts , 2002 .
[2] Eduard H. Hovy,et al. Offline Strategies for Online Question Answering: Answering Questions Before They Are Asked , 2003, ACL.
[3] John Hale,et al. A Statistical Approach to Anaphora Resolution , 1998, VLC@COLING/ACL.
[4] Eugene Charniak,et al. Getting Useful Gender Statistics from English Text , 1998 .
[5] Randy Goebel,et al. Web-Scale N-gram Models for Lexical Disambiguation , 2009, IJCAI.
[6] Shane Bergsma,et al. Automatic Acquisition of Gender Information for Anaphora Resolution , 2005, Canadian Conference on AI.
[7] Claire Cardie,et al. Noun Phrase Coreference as Clustering , 1999, EMNLP.
[8] Ralph Grishman,et al. NYU's English ACE 2005 System Description , 2005 .
[9] Ellen Riloff,et al. Automatically Generating Extraction Patterns from Untagged Text , 1996, AAAI/IAAI, Vol. 2.
[10] Carlo Cecchetto,et al. Introduction to Government and Binding Theory , 1996 .
[11] Imed Zitouni,et al. Mention Detection Crossing the Language Barrier , 2008, EMNLP.
[12] Randy Goebel,et al. Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender , 2009, CoNLL.
[13] Heng Ji,et al. Using Semantic Relations to Refine Coreference Decisions , 2005, HLT.
[14] Heng Ji,et al. Data Selection in Semi-supervised Learning for Name Tagging , 2006 .
[15] Liliane Haegeman,et al. Introduction to Government and Binding Theory , 1991 .