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Reseach Article

Question Expansion in a Question-Answering System in a Closed-Domain System

by Haniel G. Cavalcante, Jéferson N. Soares, José E. B. Maia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 23
Year of Publication: 2021
Authors: Haniel G. Cavalcante, Jéferson N. Soares, José E. B. Maia

Haniel G. Cavalcante, Jéferson N. Soares, José E. B. Maia . Question Expansion in a Question-Answering System in a Closed-Domain System. International Journal of Computer Applications. 183, 23 ( Sep 2021), 1-5. DOI=10.5120/ijca2021921621

@article{ 10.5120/ijca2021921621,
author = { Haniel G. Cavalcante, Jéferson N. Soares, José E. B. Maia },
title = { Question Expansion in a Question-Answering System in a Closed-Domain System },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2021 },
volume = { 183 },
number = { 23 },
month = { Sep },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2021921621 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:17:37.226181+05:30
%A Haniel G. Cavalcante
%A Jéferson N. Soares
%A José E. B. Maia
%T Question Expansion in a Question-Answering System in a Closed-Domain System
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 23
%P 1-5
%D 2021
%I Foundation of Computer Science (FCS), NY, USA

A great challenge in Information Retrieval Systems (IRS) is to extract the information intention of the user from a command line interface query, so it can recover relevant documents. This problem gets worse in Question-Answering Systems (QAS) in a Closed Domain, for in this scenario, there’s a higher divergence between the open language available for the user to elaborate questions and the limited vocabulary in the document collection available in the system (which is usually small). This work proposes and evaluates a system of Query Expansion (QE) for a closed domain QAS based on the semantic similarity between terms of the Word Net and a previously built semantic model using the system’s knowledge base. The tests are made by answering questions about the two closed collections of documents showed this method is effective in improving performance of the Closed Domain QAS.

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Index Terms

Computer Science
Information Sciences


Query Expansion Question-Answering System Closed Collection of Documents Information Retrieval