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International Conference on Intelligent Text Processing and Computational Linguistics

CICLing 2004: Computational Linguistics and Intelligent Text Processing pp 533–536Cite as

Unsupervised Event Extraction from Biomedical Text Based on Event and Pattern Information

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

Abstract

In this paper, we proposed a new event extraction method from biomedical texts. It can extend patterns by unsupervised way based on event and pattern information. Evaluation of our system on GENIA corpus achieves 90.1% precision and 70.0% recall.

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References

  1. Proux, D.: A pragmatic information extraction strategy for gathering data on genetic interactions. ISMB 8, 279–285 (2000)

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  2. Hwang, Y.S.: Weighted Probabilistic Sum Model based on Decision Tree Decomposition for Text Chunking. International Journal of Computer Processing of Oriental Languages 16(1) (2003)

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  3. Lee, K.J., Hwang, Y.S., Rim, H.C.: Two-Phase Biomedical NE Recognition based on SVMs. In: Proc.of the ACL 2003 Workshop on Natural Language Processing in Biomedicine, pp. 33–40 (2003)

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  4. Park, K.M.: Grammatical Relation Analysis Using Support Vector Machine in Biotext. In: Proc. of the 15th Conference of Hangul and Korean Information Processing, pp. 287–292 (2003)

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  5. GENIA Corpus 3.0p: Available at, http://www-tsujii.is.s.u-tokyo.ac.jp/genia/topics/Corpus/3.0/GENIA3.0p.intro.html

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Author information

Authors and Affiliations

  1. Natural Language Processing Lab., Dept. of CSE, Korea University, Anam-dong 5-ga, Seongbuk-gu, 136-701, Seoul, Korea

    Hong-woo Chun, Young-sook Hwang & Hae-Chang Rim

Authors
  1. Hong-woo Chun
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  2. Young-sook Hwang
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  3. Hae-Chang Rim
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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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Cite this paper

Chun, Hw., Hwang, Ys., Rim, HC. (2004). Unsupervised Event Extraction from Biomedical Text Based on Event and Pattern Information. 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_66

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  • DOI: https://doi.org/10.1007/978-3-540-24630-5_66

  • 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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