Home > Research > Publications & Outputs > Multi-document Arabic text summarisation
View graph of relations

Multi-document Arabic text summarisation

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

Published

Standard

Multi-document Arabic text summarisation. / El-Haj, M.; Kruschwitz, U.; Fox, C.
Computer Science and Electronic Engineering Conference (CEEC), 2011 3rd. IEEE, 2011. p. 365-369.

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

Harvard

El-Haj, M, Kruschwitz, U & Fox, C 2011, Multi-document Arabic text summarisation. in Computer Science and Electronic Engineering Conference (CEEC), 2011 3rd. IEEE, pp. 365-369. https://doi.org/10.1109/CEEC.2011.5995822

APA

El-Haj, M., Kruschwitz, U., & Fox, C. (2011). Multi-document Arabic text summarisation. In Computer Science and Electronic Engineering Conference (CEEC), 2011 3rd (pp. 365-369). IEEE. https://doi.org/10.1109/CEEC.2011.5995822

Vancouver

El-Haj M, Kruschwitz U, Fox C. Multi-document Arabic text summarisation. In Computer Science and Electronic Engineering Conference (CEEC), 2011 3rd. IEEE. 2011. p. 365-369 doi: 10.1109/CEEC.2011.5995822

Author

El-Haj, M. ; Kruschwitz, U. ; Fox, C. / Multi-document Arabic text summarisation. Computer Science and Electronic Engineering Conference (CEEC), 2011 3rd. IEEE, 2011. pp. 365-369

Bibtex

@inproceedings{b8ebacb17194438fb0e6bda8be1e9cf6,
title = "Multi-document Arabic text summarisation",
abstract = "The volume of information available on the Web is increasing rapidly. The need for systems that can automatically summarize documents is becoming ever more desirable. For this reason, text summarization has quickly grown into a major research area as illustrated by the DUC and TAC conference series. Summarization systems for Arabic are however still not as sophisticated and as reliable as those developed for languages like English. In this paper we discuss two summarization systems for Arabic and report on a large user study performed on these systems. The first system, the Arabic Query-Based Text Summarization System (AQBTSS), uses standard retrieval methods to map a query against a document collection and to create a summary. The second system, the Arabic Concept-Based Text Summarization System (ACBTSS), creates a query-independent document summary. Five groups of users from different ages and educational levels participated in evaluating our systems. Each group had 300 individuals. We also performed a comparative evaluation with a commercial Arabic summarization system.",
author = "M. El-Haj and U. Kruschwitz and C. Fox",
year = "2011",
doi = "10.1109/CEEC.2011.5995822",
language = "English",
isbn = "9781457713002",
pages = "365--369",
booktitle = "Computer Science and Electronic Engineering Conference (CEEC), 2011 3rd",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Multi-document Arabic text summarisation

AU - El-Haj, M.

AU - Kruschwitz, U.

AU - Fox, C.

PY - 2011

Y1 - 2011

N2 - The volume of information available on the Web is increasing rapidly. The need for systems that can automatically summarize documents is becoming ever more desirable. For this reason, text summarization has quickly grown into a major research area as illustrated by the DUC and TAC conference series. Summarization systems for Arabic are however still not as sophisticated and as reliable as those developed for languages like English. In this paper we discuss two summarization systems for Arabic and report on a large user study performed on these systems. The first system, the Arabic Query-Based Text Summarization System (AQBTSS), uses standard retrieval methods to map a query against a document collection and to create a summary. The second system, the Arabic Concept-Based Text Summarization System (ACBTSS), creates a query-independent document summary. Five groups of users from different ages and educational levels participated in evaluating our systems. Each group had 300 individuals. We also performed a comparative evaluation with a commercial Arabic summarization system.

AB - The volume of information available on the Web is increasing rapidly. The need for systems that can automatically summarize documents is becoming ever more desirable. For this reason, text summarization has quickly grown into a major research area as illustrated by the DUC and TAC conference series. Summarization systems for Arabic are however still not as sophisticated and as reliable as those developed for languages like English. In this paper we discuss two summarization systems for Arabic and report on a large user study performed on these systems. The first system, the Arabic Query-Based Text Summarization System (AQBTSS), uses standard retrieval methods to map a query against a document collection and to create a summary. The second system, the Arabic Concept-Based Text Summarization System (ACBTSS), creates a query-independent document summary. Five groups of users from different ages and educational levels participated in evaluating our systems. Each group had 300 individuals. We also performed a comparative evaluation with a commercial Arabic summarization system.

U2 - 10.1109/CEEC.2011.5995822

DO - 10.1109/CEEC.2011.5995822

M3 - Conference contribution/Paper

SN - 9781457713002

SP - 365

EP - 369

BT - Computer Science and Electronic Engineering Conference (CEEC), 2011 3rd

PB - IEEE

ER -