The Research and Design of Question-Answering System

被引：0

作者：

Song, Bo ^{[1
]}

Zhuo, Yue ^{[1
]}

机构：

[1] Shenyang Normal Univ, Software Coll, Shenyang, Liaoning, Peoples R China

来源：

FUZZY SYSTEMS AND DATA MINING III (FSDM 2017) | 2017年 / 299卷

关键词：

question-answering system; sentence similarity methods; system framework;

D O I：

10.3233/978-1-61499-828-0-231

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the continuous development of the network, Question-Answering system has become a way for people to get information quickly. The QA task aims to provide precise and quick answers to user questions from a collection of documents or a database. In this paper, we briefly introduce the QA system and its related sentence similarity methods, including TF-IDF and sentence similarity computing based on semantic dependency. Experimental results show that the accuracy of the second methods is higher. In addition the QA system framework based on a specific domain is designed.

引用

页码：231 / 237

页数：7

共 12 条

[1] MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies [J].

Ben Abacha, Asma ;

Zweigenbaum, Pierre .

INFORMATION PROCESSING & MANAGEMENT, 2015, 51 (05) :570-594

[2]

Jiang T., 2012, DESIGN IMPLEMENTATIO

[3]

Li B., 2003, APPL RES COMPUTER, V20

[4]

Li J.N., 2015, RES IMPLEMENTATION I

[5]

Li X., 2001, INT C HUM LANG TECHN

[6]

[毛先领 Mao Xianling], 2012, [计算机科学与探索, Journal of Frontiers of Computer Science & Technology], V6, P193

[7]

Moldovan D., 1999, LASSO TOOL SURFING A

[8]

Song B., 2016, ADV SWARM INTELLIGEN

[9]

Vargas-Vera M, 2004, LECT NOTES COMPUT SC, V2972, P468

[10]

Wang Z. Y., 2009, RES FULL TEXT RETRIE

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