Evaluation of query-based Arabic text summarization system

El-Haj, M. and Hammo, B. (2008) Evaluation of query-based Arabic text summarization system. In: Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on. IEEE Computer Society, Beijing, China, pp. 1-7. ISBN 9781424445158

Full text not available from this repository.


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.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
Deposited By:
Deposited On:
15 Oct 2014 13:59
Last Modified:
17 Sep 2023 03:53