A Survey on Frameworks and Methods of Question Answering

被引:3
作者
Liu, Yaqing [1 ]
Yi, Xiaokai [1 ]
Chen, Rong [1 ]
Song, Yingjie [2 ]
机构
[1] Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian, Peoples R China
[2] Shandong Inst Business & Technol, Sch Comp Sci & Technol, Yantai, Peoples R China
来源
2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE) | 2016年
关键词
Question Answering; Answer Extraction; Sentence Translation; Natural Language Processing; RANKING; NETWORK; MODEL;
D O I
10.1109/ICISCE.2016.35
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Question Answering provides a new manner for information query. Compared to existed search engines, Q&A systems are able to return answer for the questions represented by natural language. Hence, Q&A is always one of core reseraches in the field of information processing. In this paper, we present survey targets the state of the art in Q&A under systems and approaches. Firstly, we introduce the basic architecture of a typical Q&A system. Then, we present ten typical Q&A systems in different views including developer, supporting language, information source, answer type, etc. In detail, we investigate the key research endeavors on Q&A. We summary the exploited approaches to questions classification, questions similarity, answer extraction, answer sorting and question translation. Finally, we will also present our perspective on future directions of Q&A.
引用
收藏
页码:115 / 119
页数:5
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