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The NYU System for MUC-6 or Where’s the Syntax?
Ralph Grishman
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Paper Details:
Year: 1995
Venue:
MUC |
Citations
URL
An Information Extraction Core System for Real World German Text Processing
Gunter Neumann
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Rolf Backofen
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Judith Baur
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Markus Becker
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Christian Braun
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Automatic Acquisition of Domain Knowledge for Information Extraction
Roman Yangarber
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Ralph Grishman
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Pasi Tapanainen
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Silja Huttunen
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Complexity of Event Structure in IE Scenarios
Silja Huttunen
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Roman Yangarber
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Ralph Grishman
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Motivations and Methods for Text Simplification
R. Chandrasekar
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Christine Doran
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B. Srinivas
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Full Text Parsing using Cascades of Rules: an Information Extraction Perspective
Fabio Ciravegna
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Alberto Lavelli
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New Models for Improving Supertag Disambiguation
John Chen
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Srinivas Bangalore
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The Development of Lexical Resources for Information Extraction from Text Combining WordNet and Dewey Decimal Classification
Gabriela Cavaglia
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Supertagging: An Approach to Almost Parsing
Srinivas Bangalore
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Aravind K. Joshi
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University of Sheffield: Description of the LaSIE-II System as Used for MUC-7
K. Humphreys
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R. Gaizauskas
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S. Azzam
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C. Huyck
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B. Mitchell
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H. Cunningham
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Y. Wilks
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NYU: Description of the Proteus/PET System as Used for MUC-7 ST
Roman Yangarber
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Ralph Grishman
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NYU: Description of the MENE Named Entity System as Used in MUC-7
Andrew Borthwick
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John Sterling
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Eugene Agichtein
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Ralph Grishman
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Improving Machine Learning Approaches to Coreference Resolution
Vincent Ng
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Claire Cardie
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REXTOR: A System for Generating Relations from Natural Language
Boris Katz
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Jimmy Lin
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Exploring evidence for shallow parsing
Xin Li
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Dan Roth
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Probabilistic Named Entity Verification
Yi-Chung Lin
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Peng-Hsiang Hung
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Named Entity Recognition in Estonian
Alexander Tkachenko
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Timo Petmanson
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Sven Laur
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Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity
Vinayak Athavale
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Shreenivas Bharadwaj
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Monik Pamecha
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Ameya Prabhu
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Manish Shrivastava
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Corpus Based Statistical Generalization Tree in Rule Optimization
Joyce Yue Chai
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Alan W. Biermann
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The Use of Lexical Semantics in Information Extraction
Joyce Yue Chai
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Alan W. Biermann
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A Trainable Message Understanding System
Amit Bagga
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Joyce Yue Chai
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Using NOMLEX to Produce Nominalization Patterns for Information Extraction
Adam Meyers
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Catherine Macleod
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Roman Yangarber
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Ralph Grishman
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Leslie Barrett
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Ruth Reeves
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Semantic Tagging using a Probabilistic Context Free Grammar
Michael Collins
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Scott Miller
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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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A Lexically-Intensive Algorithm for Domain-Specific Knowlegde Acquisition
Rene Schneider
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Transforming Examples into Patterns for Information Extraction
Roman Yangarber
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Ralph Grishman
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