Resolving ambiguity in biomedical text to improve summarization

被引：14
|
作者：
Plaza, Laura [1 ]
Stevenson, Mark [2 ]
Diaz, Alberto [1 ]
机构：
[1] Univ Complutense Madrid, Dpto Ingn Software & Inteligencia Artificial, E-28040 Madrid, Spain
[2] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
来源：
INFORMATION PROCESSING & MANAGEMENT | 2012年 / 48卷 / 04期
基金：
英国工程与自然科学研究理事会;
关键词：
Biomedical summarization; Word sense disambiguation; WSD; Unified medical language system; UMLS; MetaMap; WORD SENSE DISAMBIGUATION; INFORMATION; DOMAIN;
D O I：
10.1016/j.ipm.2011.09.005
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Access to the vast body of research literature that is now available on biomedicine and related fields can be improved with automatic summarization. This paper describes a summarization system for the biomedical domain that represents documents as graphs formed from concepts and relations in the UMLS Metathesaurus. This system has to deal with the ambiguities that occur in biomedical documents. We describe a variety of strategies that make use of MetaMap and Word Sense Disambiguation (WSD) to accurately map biomedical documents onto UMLS Metathesaurus concepts. Evaluation is carried out using a collection of 150 biomedical scientific articles from the BioMed Central corpus. We find that using WSD improves the quality of the summaries generated. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：755 / 766
页数：12
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