Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts

被引：2

作者：

Noriega-Atala, Enrique ^{[1
]}

Hein, Paul D. ^{[2
]}

Thumsi, Shraddha S. ^{[1
]}

Wong, Zechy ^{[3
]}

Wang, Xia ^{[4
]}

Morrison, Clayton T. ^{[1
]}

机构：

[1] Univ Arizona, Sch Informat, Tucson, AZ 85721 USA

[2] Univ Arizona, Dept Comp Sci, Tucson, AZ 85721 USA

[3] Univ Arizona, Dept Linguist, Tucson, AZ USA

[4] Univ Arizona, Dept Mol & Cellular Biol, Tucson, AZ 85721 USA

来源：

2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW) | 2018年

关键词：

context; inter-sentence relation extraction; NLP; data mining; bioinformatics;

D O I：

10.1109/ICDMW.2018.00110

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts. This constitutes a non-trivial, inter-sentential relation extraction task. We focus on biological context as descriptions of the species, tissue type and cell type that are associated with biochemical events. We describe the properties of an annotated corpus of context-event relations and present and evaluate several classifiers for context-event association trained on syntactic, distance and frequency features.

引用

页码：722 / 731

页数：10

共 35 条

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