MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies

被引：128

作者：

Ben Abacha, Asma ^{[1
]}

Zweigenbaum, Pierre ^{[2
]}

机构：

[1] LIST, L-1855 Kirchberg, Luxembourg

[2] LIMSI CNRS, Paris, France

来源：

INFORMATION PROCESSING & MANAGEMENT | 2015年 / 51卷 / 05期

关键词：

Question answering; Natural language processing; Semantic search; Medical informatics; INFORMATION; DOCTORS;

D O I：

10.1016/j.ipm.2015.04.006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Question Answering (QA) task aims to provide precise and quick answers to user questions from a collection of documents or a database. This kind of IR system is sorely needed with the dramatic growth of digital information. In this paper, we address the problem of QA in the medical domain where several specific conditions are-met. We propose a semantic approach to QA based on (i) Natural Language Processing techniques, which allow a deep analysis of medical questions and documents and (ii) semantic Web technologies at both representation and interrogation levels. We present our Semantic Question-Answering System, called MEANS and our proposed method for "Answer Search" based on semantic search and query relaxation. We evaluate the overall system performance on real questions and answers extracted from MEDLINE articles. Our experiments show promising results and suggest that a query-relaxation strategy can further improve the overall performance. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：570 / 594

页数：25

共 50 条

[21] FIDJI: Web Question-Answering at Quaero 2009
Tannier, Xavier
Moriceau, Veronique
[J]. LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2010, : 2375 - 2379
[22] Question answering on the semantic web
McGuinness, DL
[J]. IEEE INTELLIGENT SYSTEMS, 2004, 19 (01): : 82 - 85
[23] Indexing of Semantic Web for Efficient Question Answering System
Madaan, Rosy
Sharma, A. K.
Dixit, Ashutosh
Bhatia, Poonam
[J]. SOFTWARE ENGINEERING (CSI 2015), 2019, 731 : 51 - 61
[24] A question-answering system using argumentation
Moreale, E
Vargas-Vera, M
[J]. MICAI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2004, 2972 : 400 - 409
[25] Towards a question answering system over the Semantic Web
Diefenbach, Dennis
Both, Andreas
Singh, Kamal
Maret, Pierre
[J]. SEMANTIC WEB, 2020, 11 (03) : 421 - 439
[26] Question answering system based on ontology and Semantic Web
Guo, Qinglin
Zhang, Ming
[J]. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, 2008, 5009 : 652 - 659
[27] An analysis of the AskMSR question-answering system
Brill, E
Dumais, S
Banko, N
[J]. PROCEEDINGS OF THE 2002 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, 2002, : 257 - 264
[28] Wedding Dress Question-Answering System
Liu, Yiwei
Zhang, Yizhuo
Wei, Yu-Chih
Chen, Chi-Hua
[J]. 2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 2020,
[29] Disambiguation for Arabic Question-Answering System
Dardour, Sondes
Fehri, Hela
Haddar, Kais
[J]. FORMALIZING NATURAL LANGUAGES WITH NOOJ 2019 AND ITS NATURAL LANGUAGE PROCESSING APPLICATIONS, NOOJ 2019, 2020, 1153 : 101 - 111
[30] Question-answering system for combustion kinetics
Pascazio, Laura
Tran, Dan
Rihm, Simon D.
Bai, Jiaru
Mosbach, Sebastian
Akroyd, Jethro
Kraft, Markus
[J]. PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2024, 40 (1-4)

← 1 2 3 4 5 →