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An incremental entity-mention model for coreference resolution with restrictive antecedent accessibility


Klenner, M; Tuggener, D (2011). An incremental entity-mention model for coreference resolution with restrictive antecedent accessibility. In: Recent Advances in Natural Language Processing (RANLP 2011), Hissar, Bulgaria, 12 September 2011 - 14 September 2011, 178-185.

Abstract

We introduce an incremental entity-mention model for coreference resolution. Our experiments show that it is superior to a non-incremental version in the same environment. The benefits of an incremental architecture are: a reduction of the number of candidate pairs, a means to overcome the problem of underspecified items in pairwise classification and the natural integration of global constraints such as transitivity. Additionally, we have defined a simple salience measure that - coupled with the incremental model - proved to establish a challenging baseline which seems to be on par with machine learning based systems of the 2010's SemEval shared task.

Abstract

We introduce an incremental entity-mention model for coreference resolution. Our experiments show that it is superior to a non-incremental version in the same environment. The benefits of an incremental architecture are: a reduction of the number of candidate pairs, a means to overcome the problem of underspecified items in pairwise classification and the natural integration of global constraints such as transitivity. Additionally, we have defined a simple salience measure that - coupled with the incremental model - proved to establish a challenging baseline which seems to be on par with machine learning based systems of the 2010's SemEval shared task.

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Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Computer Science Applications
Physical Sciences > Artificial Intelligence
Physical Sciences > Electrical and Electronic Engineering
Uncontrolled Keywords:Coreference Resolution
Language:English
Event End Date:14 September 2011
Deposited On:28 Sep 2011 12:26
Last Modified:28 Jun 2022 17:12
Series Name:Proceedings of Recent Advances in Natural Language Processing
ISSN:1313-8502
OA Status:Green
Related URLs:http://lml.bas.bg/ranlp2011/start3.php
  • Content: Published Version