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Effective Question Answering Techniques and their Evaluation Metrics
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 65 - Number 12 |
| Year of Publication: 2013 |
| Authors: Jaspreet Kaur, Vishal Gupta |
10.5120/10978-6122
|
Jaspreet Kaur, Vishal Gupta . Effective Question Answering Techniques and their Evaluation Metrics. International Journal of Computer Applications. 65, 12 ( March 2013), 30-37. DOI=10.5120/10978-6122
Abstract
Question Answering (QA) is a focused way of information retrieval. Question Answering system tries to get back the accurate answers to questions posed in natural language provided a set of documents. Basically question answering system (QA) has three elements i. e. question classification, information retrieval (IR), and answer extraction. These elements play a major role in Question Answering. In Question classification, the questions are classified depending upon the type of its entity. Information retrieval component is used to determine success by retrieving relevant answer for different questions posted by the intelligent question answering system. Answer extraction module is growing topics in the QA in which ranking and validating a candidate's answer is the major job. This paper offers a concise discussion regarding different Question Answering types. In addition we describe different evaluation metrics used to evaluate the performance of different question answering systems. We also discuss the recent question answering systems developed and their corresponding techniques.
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