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Unsupervised Gazette Creation Using Information Distance

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Natural Language Processing and Information Systems (NLDB 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7934))

Abstract

Named Entity extraction (NEX) problem consists of automatically constructing a gazette containing instances for each NE of interest. NEX is important for domains which lack a corpus with tagged NEs. In this paper, we propose a new unsupervised (bootstrapping) NEX technique, based on a new variant of the Multiword Expression Distance (MED)[1] and information distance [2]. Efficacy of our method is shown using comparison with BASILISK and PMI in agriculture domain. Our method discovered 8 new diseases which are not found in Wikipedia.

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References

  1. Bu, F., Zhu, X., Li, M.: Measuring the non-compositionality of multiword expressions. In: Proc. of the 23rd Conf. on Computational Linguistics, COLING (2010)

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  2. Bennett, C., Gacs, P., Li, M., Vitanyi, P., Zurek, W.: Information distance. IEEE Transactions on Information Theory 44(4), 1407–1423 (1998)

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  3. Thelen, M., Riloff, E.: A bootstrapping method for learning seman-tic lexicons using extraction pattern contexts. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP 2002 (2002)

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Author information

Authors and Affiliations

  1. Tata Research Development and Design Centre, TCS, 54B, Hadapsar Industrial Estate, Pune, 411013, India

    Sangameshwar Patil, Sachin Pawar, Girish K. Palshikar, Savita Bhat & Rajiv Srivastava

Authors
  1. Sangameshwar Patil
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  2. Sachin Pawar
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  3. Girish K. Palshikar
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  4. Savita Bhat
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  5. Rajiv Srivastava
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Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers, 2 rue Conté, 75003, Paris, France

    Elisabeth Métais

  2. School of Computing, Science and Engineering, University of Salford, The Crescent, M5 4WT, Salford, Lancashire, UK

    Farid Meziane  & Sunil Vadera  & 

  3. School of Computing Science and Engineering, University of Salford, The Crescent, M5 4WT, Salford, Lancashire, UK

    Mohamad Saraee

  4. Department of Decision and Information Sciences School of Business Administration, Oakland University, 306 Elliott Hall, 48309, Rochester, MI, USA

    Vijayan Sugumaran

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© 2013 Springer-Verlag Berlin Heidelberg

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Patil, S., Pawar, S., Palshikar, G.K., Bhat, S., Srivastava, R. (2013). Unsupervised Gazette Creation Using Information Distance. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_45

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  • DOI: https://doi.org/10.1007/978-3-642-38824-8_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38823-1

  • Online ISBN: 978-3-642-38824-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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