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
收藏
页码：570 / 594
页数：25
相关论文
共 50 条
  • [1] Question-answering Semantic Search System Based on the Semantic Web
    Ma, Yuanchao
    He, Yu
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON COOPERATION AND PROMOTION OF INFORMATION RESOURCES IN SCIENCE AND TECHNOLOGY(COINFO 10), 2010, : 1 - 5
  • [2] JOSN: JAVA']JAVA Oriented Question-Answering System Combining Semantic Web and Natural language Processing techniques
    Garg, Shally
    Kumar, Suresh
    [J]. 2016 1ST INDIA INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (IICIP), 2016,
  • [3] Automated question-answering techniques and the medical domain
    Andrenucci, Andrea
    [J]. HEALTHINF 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS, VOL 2, 2008, : 207 - 212
  • [4] Semantic computation in a Chinese Question-Answering system
    Sujian Li
    Jian Zhang
    Xiong Huang
    Shuo Bai
    Qun Liu
    [J]. Journal of Computer Science and Technology, 2002, 17 : 933 - 939
  • [5] Semantic computation in a Chinese question-answering system
    Li, SJ
    Zhang, J
    Huang, X
    Bai, S
    Liu, Q
    [J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2002, 17 (06): : 933 - 939
  • [6] Indexing UMLS Semantic Types for Medical Question-Answering
    Delbecque, Thierry
    Jacquemart, Pierre
    Zweigenbaum, Pierre
    [J]. CONNECTING MEDICAL INFORMATICS AND BIO-INFORMATICS, 2005, 116 : 805 - 810
  • [7] Improved semantic similarity computation in question-answering system
    Jiang, PL
    Hu, HQ
    Ren, FJ
    Kuroiwa, S
    [J]. PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, 2005, : 429 - 433
  • [8] Semantic Analysis and Classification of Medical Questions for a Logic-Based Medical Question-Answering System
    Athenikos, Sofia J.
    Han, Hyoil
    Brooks, Ari D.
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS, PROCEEDINGS, 2008, : 111 - +
  • [9] Question-answering system
    Stupina, A. A.
    Zhukov, E. A.
    Ezhemanskaya, S. N.
    Karaseva, M. V.
    Korpacheva, L. N.
    [J]. XII INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE TOPICAL ISSUES IN AERONAUTICS AND ASTRONAUTICS, 2016, 155
  • [10] Financial FAQ Question-Answering System Based on Question Semantic Similarity
    Hong, Wenxing
    Li, Jun
    Li, Shuyan
    [J]. KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT III, KSEM 2024, 2024, 14886 : 152 - 163
12345