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        <title>Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources</title>
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        <namePart type="given">Magdalena</namePart>
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        <namePart type="given">Marta</namePart>
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        <name type="personal">
            <namePart type="given">Shruti</namePart>
            <namePart type="family">Rijhwani</namePart>
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            <namePart type="given">Jiangming</namePart>
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    <abstract>In this work, we present an effective method for semantic specialization of word vector representations. To this end, we use traditional word embeddings and apply specialization methods to better capture semantic relations between words. In our approach, we leverage external knowledge from rich lexical resources such as BabelNet. We also show that our proposed post-specialization method based on an adversarial neural network with the Wasserstein distance allows to gain improvements over state-of-the-art methods on two tasks: word similarity and dialog state tracking.</abstract>
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%0 Conference Proceedings
%T Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
%A Biesialska, Magdalena
%A Rafieian, Bardia
%A Costa-jussà, Marta R.
%Y Rijhwani, Shruti
%Y Liu, Jiangming
%Y Wang, Yizhong
%Y Dror, Rotem
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F biesialska-etal-2020-enhancing
%X In this work, we present an effective method for semantic specialization of word vector representations. To this end, we use traditional word embeddings and apply specialization methods to better capture semantic relations between words. In our approach, we leverage external knowledge from rich lexical resources such as BabelNet. We also show that our proposed post-specialization method based on an adversarial neural network with the Wasserstein distance allows to gain improvements over state-of-the-art methods on two tasks: word similarity and dialog state tracking.
%R 10.18653/v1/2020.acl-srw.36
%U https://aclanthology.org/2020.acl-srw.36
%U https://doi.org/10.18653/v1/2020.acl-srw.36
%P 271-278

Markdown (Informal)

[Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources](https://aclanthology.org/2020.acl-srw.36) (Biesialska et al., ACL 2020)

• Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources (Biesialska et al., ACL 2020)

ACL

• Magdalena Biesialska, Bardia Rafieian, and Marta R. Costa-jussà. 2020. Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 271–278, Online. Association for Computational Linguistics.