文章基本信息

标题：Coreference Based Event Extraction on Biomedical Text
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作者：Katsumasa Yoshikawa ; Tsutomu Hirao ; Sebastian Riedel 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2011
卷号：26
期号：2
页码：318-323
DOI：10.1527/tjsai.26.318
出版社：The Japanese Society for Artificial Intelligence
摘要：This paper presents a new approach that exploits coreference information to extract event-argument (E-A) relations from biomedical documents. This approach has two advantages: (1) it can extract a large number of valuable E-A relations for document understanding based on the concept of salience in discourse ; (2) it enables us to identify cross-sentence E-A using transitivity involving coreference relations. We propose two coreference-based models: a pipeline based on an Support Vector Machine (SVM) classifier, and a joint Markov Logic Network (MLN). We show the effectiveness of these models on GENIA Event Corpus.
关键词：coreference resolution ; event extraction ; markov logic network