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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-51277

Tuggener, D; Klenner, M; Schneider, G; Clematide, S; Rinaldi, F (2011). An incremental model for the coreference resolution task of BioNLP 2011. In: BioNLP 2011, Portland, Oregon, USA, 23 June 2011 - 24 June 2011, 151-152.

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We introduce our incremental coreference resolution system for the BioNLP 2011 Shared Task on Protein/Gene Znteraction. The benefits of an incremental architecture over a mentionpair model are: a reduction of the number of candidate pairs, a means to overcome the problem of underspecified items in pair-wise classification and the natural integration of global constraints such as transitivity. A filtering system takes into account specific features of different anaphora types. We do not apply Machine Learning, instead the system classifies with an empirically derived salience measure based on the dependency labels of the true mentions. The OntoGene pipeline is used for preprocessing.



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Additional indexing

Item Type:Conference or Workshop Item (Other), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Uncontrolled Keywords:Coreference Resolution Biomedical Text Mining
Event End Date:24 June 2011
Deposited On:28 Nov 2011 15:29
Last Modified:05 Apr 2016 15:07
Publisher:Association for Computational Linguistics (ACL)
Official URL:http://aclweb.org/anthology-new/W/W11/W11-1823.pdf

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