Query Expansion in Text Information Retrieval with Local Context and Distributional Model-

TitleQuery Expansion in Text Information Retrieval with Local Context and Distributional Model-
Publication TypeJournal Article
Year of Publication2020
Authorsda Silva, FTavares, Maia, JEB
JournalJournal of Digital Information Management
Volume17
Issue6
Start Page313
Pagination313-320
Date Published12/2019
Type of ArticleResearch
Abstract

The Semantic Distributional Model is based on the frequency of contexts of use of language terms in large open corpus such as the web, to establish similarity or the relationship between words. These relationships or similarities can be used to add terms when expanding queries. The idea explored in this paper is that, for queries in closed collections of text documents, a posterior filter based on the restricted vocabulary of the collection can improve the effectiveness of automatic query expansion. This idea is developed and evaluated in publicly available benchmarks presenting promising results.

URLhttp://dline.info/fpaper/jdim/v17i6/jdimv17i6_1.pdf
DOI10.6025/jdim/2019/17/6/313-320
Refereed DesignationRefereed

Collaborative Partner

Institute of Electronic and Information Technology (IEIT)

Collaborative Partner

Collaborative Partner