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        <title>Scoring Lexical Entailment with a Supervised Directional Similarity Network</title>
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        <namePart type="family">Gerz</namePart>
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    <name type="personal">
        <namePart type="given">Ivan</namePart>
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    <abstract>We present the Supervised Directional Similarity Network, a novel neural architecture for learning task-specific transformation functions on top of general-purpose word embeddings. Relying on only a limited amount of supervision from task-specific scores on a subset of the vocabulary, our architecture is able to generalise and transform a general-purpose distributional vector space to model the relation of lexical entailment. Experiments show excellent performance on scoring graded lexical entailment, raising the state-of-the-art on the HyperLex dataset by approximately 25%.</abstract>
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%0 Conference Proceedings
%T Scoring Lexical Entailment with a Supervised Directional Similarity Network
%A Rei, Marek
%A Gerz, Daniela
%A Vulić, Ivan
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2018
%8 jul
%I Association for Computational Linguistics
%C Melbourne, Australia
%F rei-etal-2018-scoring
%X We present the Supervised Directional Similarity Network, a novel neural architecture for learning task-specific transformation functions on top of general-purpose word embeddings. Relying on only a limited amount of supervision from task-specific scores on a subset of the vocabulary, our architecture is able to generalise and transform a general-purpose distributional vector space to model the relation of lexical entailment. Experiments show excellent performance on scoring graded lexical entailment, raising the state-of-the-art on the HyperLex dataset by approximately 25%.
%R 10.18653/v1/P18-2101
%U https://aclanthology.org/P18-2101
%U https://doi.org/10.18653/v1/P18-2101
%P 638-643

Markdown (Informal)

[Scoring Lexical Entailment with a Supervised Directional Similarity Network](https://aclanthology.org/P18-2101) (Rei et al., ACL 2018)

• Scoring Lexical Entailment with a Supervised Directional Similarity Network (Rei et al., ACL 2018)

ACL

• Marek Rei, Daniela Gerz, and Ivan Vulić. 2018. Scoring Lexical Entailment with a Supervised Directional Similarity Network. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 638–643, Melbourne, Australia. Association for Computational Linguistics.