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        <title>Within-Between Lexical Relation Classification</title>
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        <namePart type="given">Oren</namePart>
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            <namePart type="given">Bonnie</namePart>
            <namePart type="family">Webber</namePart>
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        <name type="personal">
            <namePart type="given">Trevor</namePart>
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            <namePart type="given">Yulan</namePart>
            <namePart type="family">He</namePart>
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        <name type="personal">
            <namePart type="given">Yang</namePart>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>We propose the novel Within-Between Relation model for recognizing lexical-semantic relations between words. Our model integrates relational and distributional signals, forming an effective sub-space representation for each relation. We show that the proposed model is competitive and outperforms other baselines, across various benchmarks.</abstract>
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    <identifier type="doi">10.18653/v1/2020.emnlp-main.284</identifier>
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%0 Conference Proceedings
%T Within-Between Lexical Relation Classification
%A Barkan, Oren
%A Caciularu, Avi
%A Dagan, Ido
%Y Webber, Bonnie
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F barkan-etal-2020-within
%X We propose the novel Within-Between Relation model for recognizing lexical-semantic relations between words. Our model integrates relational and distributional signals, forming an effective sub-space representation for each relation. We show that the proposed model is competitive and outperforms other baselines, across various benchmarks.
%R 10.18653/v1/2020.emnlp-main.284
%U https://aclanthology.org/2020.emnlp-main.284
%U https://doi.org/10.18653/v1/2020.emnlp-main.284
%P 3521-3527

Markdown (Informal)

[Within-Between Lexical Relation Classification](https://aclanthology.org/2020.emnlp-main.284) (Barkan et al., EMNLP 2020)

• Within-Between Lexical Relation Classification (Barkan et al., EMNLP 2020)

ACL

• Oren Barkan, Avi Caciularu, and Ido Dagan. 2020. Within-Between Lexical Relation Classification. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 3521–3527, Online. Association for Computational Linguistics.