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Probabilistic Coreference in Information Extraction
Andrew Kehler
|
Paper Details:
Year: 1997
Venue:
EMNLP |
WS |
SIG: SIGDAT
Citations
URL
Multilingual Coreference Resolution
Sanda M. Harabagiu
|
Steven J. Maiorano
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Introduction to the Special Issue on Computational Anaphora Resolution
Ruslan Mitkov
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Branimir Boguraev
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Shalom Lappin
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A Machine Learning Approach to Coreference Resolution of Noun Phrases
Wee Meng Soon
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Hwee Tou Ng
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Daniel Chung Yong Lim
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Identifying and Tracking Entity Mentions in a Maximum Entropy Framework
Abraham Ittycheriah
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Lucian Lita
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Nanda Kambhatla
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Nicolas Nicolov
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Salim Roukos
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Margo Stys
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Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution
David Bean
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Ellen Riloff
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Unsupervised Resolution of Objects and Relations on the Web
Alexander Yates
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Oren Etzioni
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Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming
Pascal Denis
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Jason Baldridge
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Improving Coreference Resolution by Using Conversational Metadata
Xiaoqiang Luo
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Radu Florian
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Todd Ward
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A Mention-Synchronous Coreference Resolution Algorithm Based On the Bell Tree
Xiaoqiang Luo
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Abe Ittycheriah
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Hongyan Jing
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Nanda Kambhatla
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Salim Roukos
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Machine Learning for Coreference Resolution: From Local Classification to Global Ranking
Vincent Ng
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Supervised Noun Phrase Coreference Research: The First Fifteen Years
Vincent Ng
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Entity-Centric Coreference Resolution with Model Stacking
Kevin Clark
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Christopher D. Manning
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Corpus-Based Identification of Non-Anaphoric Noun Phrases
David L. Bean
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Ellen Riloff
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Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference Rules
Vincent Ng
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Claire Cardie
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An Expectation Maximization Approach to Pronoun Resolution
Colin Cherry
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Shane Bergsma
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Exploiting Diverse Knowledge Sources via Maximum Entropy in Named Entity Recognition
Andrew Borthwick
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John Sterling
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Eugene Agichtein
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Ralph Grishman
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Knowledge-Lean Coreference Resolution and its Relation to Textual Cohesion and Coherence
Sanda M. Harabagiu
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Steven J. Maiorano
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INFORMATION EXTRACTION RESEARCH AND APPLICATIONS: CURRENT PROGRESS AND FUTURE DIRECTIONS
Andrew Kehler
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Jerry R. Hobbs
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Douglas Appelt
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John Bear
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Matthew Caywood
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David Israel
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Megumi Kameyama
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David Martin
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Claire Monteleoni
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No URLs Found
Field Of Study
Linguistic Trends
Discourse
Syntax
Task
Information Extraction
Language
English
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