Some Issues in Application of NLP to Intelligent Information Retrieval System and Guidelines for its Solution

Authors(1) :-Shrey Patel

The process of getting the semantic information out of vast text data available is not easy. Many of the recent work on Intelligent Information Retrieval (IIR) dealt with usage of natural language processing (NLP), but the results were not so encouraging. Even currently applicable state-of-the-art NLP gives only moderate results when used in document retrieval systems. Firstly, this research paper addresses the key issues that occur when incorporating NLP techniques in IIR. We look in detail, what are the causes of issues. Then we propose some solutions to tackle with these issues, for getting better IIR system outputs.

Authors and Affiliations

Shrey Patel
B.E. Computer Engineering, Gujarat Technological University, Ahmedabad, Gujarat, India

Natural Language Processing, Information Retrieval, Document Retrieval, Word Sense Disambiguation, Query, Machine Learning

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 712-716
Manuscript Number : CSEIT11833223
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shrey Patel, "Some Issues in Application of NLP to Intelligent Information Retrieval System and Guidelines for its Solution", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.712-716, March-April-2018.
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