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    Supervised phrase-boundary embeddings

    Singh, Manni and Weston, David and Levene, Mark (2020) Supervised phrase-boundary embeddings. In: Berthold, M.R. and Feelders, A. and Krempl, G. (eds.) Advances in Intelligent Data Analysis XVIII. Lecture Notes in Computer Science 12080. Springer, pp. 470-482. ISBN 9783030445836.

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    Abstract

    We propose a new word embedding model, called SPhrase, that incorporates supervised phrase information. Our method modifies traditional word embeddings by ensuring that all target words in a phrase have exactly the same context. We demonstrate that including this information within a context window produces superior embeddings for both intrinsic evaluation tasks and downstream extrinsic tasks.

    Metadata

    Item Type: Book Section
    Additional Information: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings. Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 12080).
    Keyword(s) / Subject(s): Phrase embeddings, Named entity recognition, Natural language processing
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centres and Institutes: Data Analytics, Birkbeck Institute for
    Depositing User: David Weston
    Date Deposited: 25 Jun 2021 13:09
    Last Modified: 26 Jun 2021 14:29
    URI: https://eprints.bbk.ac.uk/id/eprint/31525

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