Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)

AMDS: Sentence Extraction Based Proficient Framework for Multi-Document Summarization

Authors
C. Balasubramanian, K.G. Srinivasagan, S. Geetha
Corresponding Author
C. Balasubramanian
Available Online August 2013.
DOI
10.2991/icaise.2013.20How to use a DOI?
Keywords
Sentence extraction, Multi-document summarization, Sentence ingenious ranking, Similarity measure.
Abstract

Rapid improvement of electronic documents in World Wide Web has made overload to the users in accessing the information. Therefore, abstracting the primary content from numerous documents related to same topic is highly essential. Summarization of multiple documents helps in valuable decision-making in less time. This paper proposed a framework named Adept Multi-Document Summarization (AMDS) for efficient summarization of document, which achieves the aforementioned requirement. Here, the documents are preprocessed initially to remove the information that is less important. Summary of each preprocessed document is obtained through the sentence extraction process. Single document summarization is carried out based on graph model. A ranking method named Ingenious Ranking (IR) is proposed to rank and order the extracted single document summaries. It ranks the sentences in the generated summaries of each document and incorporates the individual summaries to generate a concise summary. Empirical results presented in this paper demonstrate the efficiency of the proposed AMDS framework.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-71-0
ISSN
1951-6851
DOI
10.2991/icaise.2013.20How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - C. Balasubramanian
AU  - K.G. Srinivasagan
AU  - S. Geetha
PY  - 2013/08
DA  - 2013/08
TI  - AMDS: Sentence Extraction Based Proficient Framework for Multi-Document Summarization
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 87
EP  - 94
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.20
DO  - 10.2991/icaise.2013.20
ID  - Balasubramanian2013/08
ER  -