Question Answering: A Survey of Research, Techniques and Issues

被引:5
|
作者
Singh, Vaishali [1 ]
Dwivedi, Sanjay K. [1 ]
机构
[1] BB Ambedkar Univ, Dept Compuer Sci, Lucknow, Uttar Pradesh, India
关键词
NLP; QA System; Statistical Machine Learning; Statistical Models; Surface Patterns; Templates;
D O I
10.4018/ijirr.2014070102
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the huge amount of data available on web, it has turned out to be a fertile area for Question Answering (QA) research. Question answering, an instance of information retrieval research is at the cross road from several research communities such as, machine learning, statistical learning, natural language processing and pattern learning. In this paper, the authors survey the research in area of question answering with respect to different prospects of NLP, machine learning, statistical learning and pattern learning. Then they situate some of the prominent QA systems concerning these prospects and present a comparative study on the basis of question types.
引用
收藏
页码:14 / 33
页数:20
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