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Domain Specific Features Driven Information Extraction from Web Pages of Scientific Conferences

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Computational Linguistics and Intelligent Text Processing (CICLing 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10761))

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Abstract

In this paper we describe information extraction from web pages of scientific conferences. We enrich already known features with our new features specific for this domain and show their importance in the process of extracting information. Moreover, we investigate various data representation models, e.g., based on single tokens or sequences, in order to find the best configuration for the task in question and set up a new baseline over publicly available corpus.

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Notes

  1. 1.

    It means that the model assigns a label; that is, a type of entity, to a single token.

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Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

    Piotr Andruszkiewicz & Rafał Hazan

Authors
  1. Piotr Andruszkiewicz
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  2. Rafał Hazan
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Correspondence to Piotr Andruszkiewicz .

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Editors and Affiliations

  1. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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Andruszkiewicz, P., Hazan, R. (2018). Domain Specific Features Driven Information Extraction from Web Pages of Scientific Conferences. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2017. Lecture Notes in Computer Science(), vol 10761. Springer, Cham. https://doi.org/10.1007/978-3-319-77113-7_32

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  • DOI: https://doi.org/10.1007/978-3-319-77113-7_32

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  • Online ISBN: 978-3-319-77113-7

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