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.
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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|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
|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)|
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