loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mine Berker 1 and Tunga Güngör 2

Affiliations: 1 Boğaziçi University, Turkey ; 2 Boğaziçi University and Universitat Politècnica de Catalunya, Turkey

Keyword(s): Automatic text summarization, Lexical chains, Genetic algorithms, Lexical cohesion.

Abstract: Automatic text summarization takes an input text and extracts the most important content in the text. Determining the importance depends on several factors. In this paper, we combine two different approaches that have been used in text summarization. The first one is using genetic algorithms to learn the patterns in the documents that lead to the summaries. The other one is using lexical chains as a representation of the lexical cohesion that exists in the text. We propose a novel approach that incorporates lexical chains into the model as a feature and learns the feature weights by genetic algorithms. The experiments showed that combining different types of features and also including lexical chains outperform the classical approaches.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.218.99.80

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Berker, M. and Güngör, T. (2012). USING GENETIC ALGORITHMS WITH LEXICAL CHAINS FOR AUTOMATIC TEXT SUMMARIZATION. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012) - Volume 2: SSML; ISBN 978-989-8425-95-9; ISSN 2184-433X, SciTePress, pages 595-600. DOI: 10.5220/0003882405950600

@conference{ssml12,
author={Mine Berker. and Tunga Güngör.},
title={USING GENETIC ALGORITHMS WITH LEXICAL CHAINS FOR AUTOMATIC TEXT SUMMARIZATION},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012) - Volume 2: SSML},
year={2012},
pages={595-600},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003882405950600},
isbn={978-989-8425-95-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012) - Volume 2: SSML
TI - USING GENETIC ALGORITHMS WITH LEXICAL CHAINS FOR AUTOMATIC TEXT SUMMARIZATION
SN - 978-989-8425-95-9
IS - 2184-433X
AU - Berker, M.
AU - Güngör, T.
PY - 2012
SP - 595
EP - 600
DO - 10.5220/0003882405950600
PB - SciTePress