会议专题

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 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.

Arabic query-based text summarization Arabic single document summarization concordance stemming

Mahmoud O.EL-HAJ Bassam H.HAMMO

CIS Dept.,University of Jordan Amman,Jordan

国际会议

The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

北京

英文

2008-10-19(万方平台首次上网日期,不代表论文的发表时间)