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UZH in the BioNLP 2013 GENIA Shared Task
Institute of Computational Linguistics, University of Zurich, Switzerland.
Institute of Computational Linguistics, University of Zurich, Switzerland.
Institute of Computational Linguistics, University of Zurich, Switzerland.
Institute of Computational Linguistics, University of Zurich, Switzerland.
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2013 (English)In: Proceedings of the BioNLP Shared Task 2013 Workshop, 2013, 116-120 p.Conference paper, Published paper (Refereed)
Abstract [en]

We describe a biological event detec- tion method implemented for the Genia Event Extraction task of BioNLP 2013. The method relies on syntactic dependency relations provided by a general NLP pipeline, supported by statistics derived from Maximum Entropy models for candidate trigger words, for potential arguments, and for argument frames. 

Place, publisher, year, edition, pages
2013. 116-120 p.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:su:diva-93901OAI: oai:DiVA.org:su-93901DiVA: diva2:649895
Conference
BioNLP Shared Task 2013 Workshop
Available from: 2013-09-19 Created: 2013-09-19 Last updated: 2014-05-26Bibliographically approved

Open Access in DiVA

UZH in the BioNLP 2013 GENIA Shared Task(144 kB)85 downloads
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Type fulltextMimetype application/pdf

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http://www.aclweb.org/anthology/W13-2016

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Grigonyté, Gintaré
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