Title
A Composite Natural Language Processing And Information Retrieval Approach To Question Answering Using A Structured Knowledge Base
Abstract
With the inception of the World Wide Web, the amount of data present on the Internet is tremendous. This makes the task of navigating through this enormous amount of data quite difficult for the user. As users struggle to navigate through this wealth of information, the need for the development of an automated system that can extract the required information becomes urgent. This paper presents a Question Answering system to ease the process of information retrieval. Question Answering systems have been around for quite some time and are a sub-field of information retrieval and natural language processing. The task of any Question Answering system is to seek an answer to a free form factual question. The difficulty of pinpointing and verifying the precise answer makes question answering more challenging than simple information retrieval done by search engines. The research objective of this paper is to develop a novel approach to Question Answering based on a composition of conventional approaches of Information Retrieval (IR) and Natural Language processing (NLP). The focus is on using a structured and annotated knowledge base instead of an unstructured one. The knowledge base used here is DBpedia and the final system is evaluated on the Text REtrieval Conference (TREC) 2004 questions dataset.
Year
DOI
Venue
2017
10.1142/S1793351X17400141
INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING
Keywords
Field
DocType
Structured semantic data, information retrieval, natural language processing, question answering system
Data mining,World Wide Web,Search engine,Question answering,Information retrieval,Computer science,Natural language processing,Artificial intelligence,Text Retrieval Conference,Knowledge base,Free form,The Internet
Journal
Volume
Issue
ISSN
11
3
1793-351X
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
Avani Chandurkar110.68
Ajay Bansal232027.21