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        <title>Automatically Linking Lexical Resources with Word Sense Embedding Models</title>
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        <namePart type="given">Luis</namePart>
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            <title>Proceedings of the Third Workshop on Semantic Deep Learning</title>
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            <namePart type="given">Luis</namePart>
            <namePart type="given">Espinosa</namePart>
            <namePart type="family">Anke</namePart>
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    <abstract>Automatically learnt word sense embeddings are developed as an attempt to refine the capabilities of coarse word embeddings. The word sense representations obtained this way are, however, sensitive to underlying corpora and parameterizations, and they might be difficult to relate to formally defined word senses. We propose to tackle this problem by devising a mechanism to establish links between word sense embeddings and lexical resources created by experts. We evaluate the applicability of these links in a task to retrieve instances of word sense unlisted in the lexicon.</abstract>
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%0 Conference Proceedings
%T Automatically Linking Lexical Resources with Word Sense Embedding Models
%A Nieto-Piña, Luis
%A Johansson, Richard
%Y Anke, Luis Espinosa
%Y Gromann, Dagmar
%Y Declerck, Thierry
%S Proceedings of the Third Workshop on Semantic Deep Learning
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico
%F nieto-pina-johansson-2018-automatically
%X Automatically learnt word sense embeddings are developed as an attempt to refine the capabilities of coarse word embeddings. The word sense representations obtained this way are, however, sensitive to underlying corpora and parameterizations, and they might be difficult to relate to formally defined word senses. We propose to tackle this problem by devising a mechanism to establish links between word sense embeddings and lexical resources created by experts. We evaluate the applicability of these links in a task to retrieve instances of word sense unlisted in the lexicon.
%U https://aclanthology.org/W18-4003
%P 23-29

Markdown (Informal)

[Automatically Linking Lexical Resources with Word Sense Embedding Models](https://aclanthology.org/W18-4003) (Nieto-Piña & Johansson, SemDeep 2018)

• Automatically Linking Lexical Resources with Word Sense Embedding Models (Nieto-Piña & Johansson, SemDeep 2018)

ACL

• Luis Nieto-Piña and Richard Johansson. 2018. Automatically Linking Lexical Resources with Word Sense Embedding Models. In Proceedings of the Third Workshop on Semantic Deep Learning, pages 23–29, Santa Fe, New Mexico. Association for Computational Linguistics.