A Framework for Restricted Domain Question Answering System using advanced NLP tools and software

Authors: Shilpa Sharma, Prof Manmohan Tiwari

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Abstract

Question and Answering System is one of the major research are in Natural Language. Main challenges of Question and Answer system gives exact answer of question which give by user. Question and Answering system can be classified into three category are open domain, closed domain and restricted domain. Using advanced Natural Language Processing tool we will be developed a framework for question answering system. In this paper we work on restricted domain question answering system. Proposed system work on keyword and question matching and return precise answer of question.

Introduction

Although the set of documents which are retrieved by the search engine contain a lot of information about the search topic but it may or may not contain exactly that information which the user is looking for [1].The basic idea behind the question answering system is that the users just have to enter the question and the system will retrieve the most appropriate and precise answer for that question and return it to the user. Hence in those cases where the user is looking for a short and precise answer, question answering System plays a great role rather than Search Engines, which usually provide a large set of links of those web pages which might contain the answer of that question. A typical Question Answering system can be divided into 3 modules namely: Question Processing module, Document Processing or Information Retrieval module and Answer Processing module. Each Processing and Information Retrieval module contains several sub modules and these modules use several Natural Language Processing Techniques in order to extract the proper answer. The usual Question Answering system is designed to answer simple wh-questions like “who”, “what”, “when”, “where”, etc. But the recent QA research focuses on extending the system to answer complex questions, summary questions, opinion questions etc. The paper proposes a Question Answering system that answers simple factoid, wh-questions by using a technique called Semantic Role Labeling

Conclusion

In this paper we have proposed a framework for restricted domain question Answering System using advanced NLP tools and software. This framework can be used to develop a Question Answering System for extracting exact and precise answer from restricted domain textual data set. The proposed framework not only provides a simple and implementable framework for developing question Answering System but also provides a proper flow of data for answer extraction. Since the proposed model works over keywords and headword and is independent of the question or sentence structure, it has reduced the overhead of question normalization. Moreover since the framework is given for restricted domain, it also handles the issue of word sense disambiguation. The major problem which exists with the proposed framework is that it\'s performance is dependent on the performance of the search engine and the used NLP tools.