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Evaluation of query-based Arabic text summarization system

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

El-Haj, M & 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. https://doi.org/10.1109/NLPKE.2008.4906790

APA

El-Haj, M., & 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 (pp. 1-7). IEEE Computer Society. https://doi.org/10.1109/NLPKE.2008.4906790

Vancouver

El-Haj M, Hammo B. Evaluation of query-based Arabic text summarization system. In Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on. Beijing, China: IEEE Computer Society. 2008. p. 1-7 doi: 10.1109/NLPKE.2008.4906790

Author

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

Bibtex

@inproceedings{38de688876c14ed2ae503bf407d6b3ec,
title = "Evaluation of query-based Arabic text summarization system",
abstract = "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.",
author = "M. El-Haj and B. Hammo",
year = "2008",
doi = "10.1109/NLPKE.2008.4906790",
language = "English",
isbn = "9781424445158",
pages = "1--7",
booktitle = "Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on",
publisher = "IEEE Computer Society",

}

RIS

TY - GEN

T1 - Evaluation of query-based Arabic text summarization system

AU - El-Haj, M.

AU - Hammo, B.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

U2 - 10.1109/NLPKE.2008.4906790

DO - 10.1109/NLPKE.2008.4906790

M3 - Conference contribution/Paper

SN - 9781424445158

SP - 1

EP - 7

BT - Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on

PB - IEEE Computer Society

CY - Beijing, China

ER -