Sieve-Based Entity Linking for the Biomedical Domain

被引：0

作者：

D'Souza, Jennifer ^{[1
]}

Ng, Vincent ^{[1
]}

机构：

[1] Univ Texas Dallas, Human Language Technol Res Inst, Richardson, TX 75083 USA

来源：

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2 | 2015年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We examine a key task in biomedical text processing, normalization of disorder mentions. We present a multi-pass sieve approach to this task, which has the advantage of simplicity and modularity. Our approach is evaluated on two datasets, one comprising clinical reports and the other comprising biomedical abstracts, achieving state-of-the-art results.

引用

页码：297 / 302

页数：6

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