Question Answering Systems: Survey and Trends

被引：78

作者：

Bouziane, Abdelghani ^{[1
]}

Bouchiha, Djelloul ^{[1
]}

Doumi, Noureddine ^{[2
]}

Malki, Mimoun ^{[3
]}

机构：

[1] Ctr Univ Naama, Inst Sci & Technol, Dept Math & Comp Sci, El Bayadh, Algeria

[2] Univ Dr Tahar Moulay Saida, Saida, Algeria

[3] Djillali Liabes Univ Sidi Bel Abbes, EEDIS Lab, Sidi Bel Abbes, Algeria

来源：

INTERNATIONAL CONFERENCE ON ADVANCED WIRELESS INFORMATION AND COMMUNICATION TECHNOLOGIES (AWICT 2015) | 2015年 / 73卷

关键词：

Question Answering System (QAS); Natural Language Processing (NLP); Information Retrieval; SPARQL; Semantic Web;

D O I：

10.1016/j.procs.2015.12.005

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The need to query information content available in various formats including structured and unstructured data (text in natural language, semi-structured Web documents, structured RDF data in the semantic Web, etc.) has become increasingly important. Thus, Question Answering Systems (QAS) are essential to satisfy this need. QAS aim at satisfying users who are looking to answer a specific question in natural language. In this paper we survey various QAS. We give also statistics and analysis. This can clear the way and help researchers to choose the appropriate solution to their issue. They can see the insufficiency, so that they can propose new systems for complex queries. They can also adapt or reuse QAS techniques for specific research issues. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：366 / 375

页数：10

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