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: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Data Analytics, Birkbeck Institute for |
| Depositing User: | David Weston |
| Date Deposited: | 25 Jun 2021 13:09 |
| Last Modified: | 09 Aug 2023 12:48 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/31525 |
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