Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Improvement of KEA Based on Lexical Chain

Authors
Zefeng Li, Xianghui Zhao, Jin Yi, Bin He
Corresponding Author
Zefeng Li
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.164How to use a DOI?
Keywords
keyphrases extraction, KEA, lexcial chain,semantic similarity.
Abstract

Keyphrases are very useful and significant for information retrieval, automatic summarizing, text clustering, etc. KEA is a traditional and classical algorithm in keyphrase automatic extraction. But it is mainly based on the statistical information without considering the semantic information. In this paper, We propose a method which combine semantic information with KEA by constructing lexical chain that based on Reget’s thesaurus. In our method, the semantic similarity between terms is used to construct the lexical chain, and then we use the length of the chain as a feature to build the extraction model. The experiment result shows that the performance of the system has a big improvement compare with the KEA.

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 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.164How 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  - Zefeng Li
AU  - Xianghui Zhao
AU  - Jin Yi
AU  - Bin He
PY  - 2014/05
DA  - 2014/05
TI  - Improvement of KEA Based on Lexical Chain
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 681
EP  - 684
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.164
DO  - https://doi.org/10.2991/iccia.2012.164
ID  - Li2014/05
ER  -