Evaluation of Query-Based Arabic Text Summarization System

In this paper, we present and analyze the results of the application of Arabic query-based text summarization system - AQBTSS - in an attempt to produce a query-oriented summary for a single Arabic document. For this task, we adapted the traditional vector space model (VSM) and the cosine similarity...

Full description

Saved in:
Bibliographic Details
Main Authors: El-Haj, M.O., Hammo, B.H.
Format: Conference Proceeding
Language:English
Subjects:
Abstracts
Arabic query-based text summarization
Arabic single document summarization
Computational Intelligence Society
Computer applications
concordance
Data mining
Encyclopedias
Natural language processing
Natural languages
stemming
Wikipedia
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we present and analyze the results of the application of Arabic query-based text summarization system - AQBTSS - in an attempt to produce a query-oriented summary for a single Arabic document. For this task, we adapted the traditional vector space model (VSM) and the cosine similarity measure to find the most relevant passages extracted form Arabic document to produce a text summary. We aim at using the short summaries in some natural language (NL) tasks such as generating answers for Arabic open domain question answering system (AQAS) as well as experimenting with categorizing Arabic scripts. The obtained results indicate that our simple approach for text summarization is promising.
DOI:10.1109/NLPKE.2008.4906790