Arabic Word Sense Disambiguation for Information Retrieval-Reference-Cited by-同舟云学术

Arabic Word Sense Disambiguation for Information Retrieval

Published:2022-01-19 Issue:4 Volume:21 Page:1-19
ISSN:2375-4699
Container-title:ACM Transactions on Asian and Low-Resource Language Information Processing
language:en
Short-container-title:ACM Trans. Asian Low-Resour. Lang. Inf. Process.

Author:

Abderrahim Mohammed Alaeddine¹^ORCID,Abderrahim Mohammed El-Amine¹

Affiliation:

1. Laboratoire de Traitement Automatique de la Langue Arabe (LTALA), Tlemcen University, Tlemcen, Algeria

Abstract

In the context of using semantic resources for information retrieval, the relationship and distance between concepts are considered important for word sense disambiguation. In this article, we experiment with Conceptual Density and Random Walk with graph methods to enhance the performance of the Arabic Information Retrieval System. To do this, a medium-sized corpus was used. The results proved that Random Walk can enhance the performance of the information retrieval system by achieving a mean improvement of 13%, 16%, and 12% in terms of recall, precision, and F-score, respectively.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3510451

Reference50 articles.

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