A Term Weighting Method Based on Lexical Chain for Automatic Summarization (original) (raw)

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

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Authors and Affiliations

  1. Natural Language Processing Lab., Dept. of CSE, Korea University, Anam-dong 5-ga, Seongbuk-gu, 136-701, Seoul, Korea
    Young-In Song, Kyoung-Soo Han & Hae-Chang Rim

Authors

  1. Young-In Song
  2. Kyoung-Soo Han
  3. Hae-Chang Rim

Editor information

Editors and Affiliations

  1. National Polytechnic Institute, Center for Computing Research, 07738, Mexico City, México
    Alexander Gelbukh

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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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