Sentences Simplification for Automatic summarization

A. Bawakid; M. Oussalah

doi:10.1109/CIS.2011.6169135

Sentences Simplification for Automatic summarization

A. Bawakid, M. Oussalah

Electronic, Electrical and Systems Engineering

Research output: Contribution to conference (unpublished) › Other › peer-review

2 Citations (Scopus)

Abstract

In this paper, we emphasize the need for conserving space within sentences by introducing a Sentences Simplification Module (SSM). The module is aimed to shorten the length of sentences via either splitting or compression. We describe how the module is integrated in a Wikipedia-based summarization framework. We highlight the performance differences obtained from introducing such a module by running a series of evaluations.

Original language	English
Pages	59-64
DOIs	https://doi.org/10.1109/CIS.2011.6169135
Publication status	Published - Sept 2011
Event	2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS) - London, United Kingdom Duration: 1 Sept 2011 → 2 Sept 2011

Conference

Conference	2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)
Country/Territory	United Kingdom
Period	1/09/11 → 2/09/11

Access to Document

10.1109/CIS.2011.6169135

http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6169135

Cite this

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title = "Sentences Simplification for Automatic summarization",

abstract = "In this paper, we emphasize the need for conserving space within sentences by introducing a Sentences Simplification Module (SSM). The module is aimed to shorten the length of sentences via either splitting or compression. We describe how the module is integrated in a Wikipedia-based summarization framework. We highlight the performance differences obtained from introducing such a module by running a series of evaluations.",

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AB - In this paper, we emphasize the need for conserving space within sentences by introducing a Sentences Simplification Module (SSM). The module is aimed to shorten the length of sentences via either splitting or compression. We describe how the module is integrated in a Wikipedia-based summarization framework. We highlight the performance differences obtained from introducing such a module by running a series of evaluations.

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