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Coreference / Pragmatics / Semantics / Grammar / Antecedent / Message Understanding Conference / Anaphora / Syntax / NP / Linguistics / Philosophy of language / Semiotics


Improving Machine Learning Approaches to Coreference Resolution Vincent Ng and Claire Cardie Department of Computer Science Cornell University Ithaca, NY[removed]yung,cardie  @cs.cornell.edu
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Document Date: 2004-07-13 10:00:29

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City

Aberdeen / San Francisco / San Mateo / /

Company

IBM / Anaphora Resolution Strategies / Microsoft / Soon / /

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Event

Product Recall / Product Issues / M&A / /

Facility

University of Manitoba / Massachusetts Institute of Technology / /

IndustryTerm

coreference resolution systems / in-house naive pronoun resolution algorithm / coreference resolution algorithm / left search / naive pronoun resolution algorithm / classification algorithm / symbolic learning algorithms / rule-based coreference resolution algorithm / learning algorithm / learning algorithms / coreference clustering algorithm / /

MarketIndex

set 26455 / set 35895 / /

Organization

National Science Foundation / North America Chapter / University of Manitoba / Massachusetts Institute of Technology / Claire Cardie Department of Computer Science Cornell University Ithaca / National Park Service / NYU / Association for Computational Linguistics / /

Person

Vincent Ng / Morgan Kaufmann / Claire Cardie / /

Product

As a result / Baseline system / Duplicated Soon Baseline / C4.5 decision tree induction system / Chi-square statistical significance tests / data set / Baseline / C4.5 / /

ProvinceOrState

Manitoba / California / Massachusetts / /

PublishedMedium

Computational Linguistics / Machine Learning / /

Technology

coreference resolution algorithm / naive pronoun resolution algorithm / clustering algorithm / in-house naive pronoun resolution algorithm / Machine Learning / classification algorithm / learning algorithm / coreference clustering algorithm / symbolic learning algorithms / learning algorithms / rule-based coreference resolution algorithm / /

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