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A Term Weighting Method Based on Lexical Chain for Automatic Summarization

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Computational Linguistics and Intelligent Text Processing (CICLing 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2945))

Abstract

We suggest a new term weighting method based on lexical cohesion in a text. To compute cohesion, we use lexical chain with a new lexical chain disambiguation method considering association between words and characteristics of WordNet. In our experiment, the methods show a better result than traditional term weighting methods such as tf and tf.idf.

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References

  1. Morris, J., Hirst, G.: Lexical cohesion computed by thesaural relations as indicator of the structure of text. Computational linguistics 17(1), 21–45 (1991)

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  2. Barzilay, R., Elhadad, M.: Lexical Chains for Text Summarization. Master’s thesis, Ben-Gurion University (1997)

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  3. Siber, H.G., McCoy, K.F.: Efficient Text Summarization using Lexical Chains. In: Proceedings of the ACM Conference on Intelligent User Interfaces (2000)

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© 2004 Springer-Verlag Berlin Heidelberg

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Song, YI., Han, KS., Rim, HC. (2004). A Term Weighting Method Based on Lexical Chain for Automatic Summarization. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_78

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  • DOI: https://doi.org/10.1007/978-3-540-24630-5_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21006-1

  • Online ISBN: 978-3-540-24630-5

  • eBook Packages: Springer Book Archive

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