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        <title>Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations</title>
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            <title>Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)</title>
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            <namePart type="given">Michael</namePart>
            <namePart type="family">Zock</namePart>
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    <abstract>Recognizing various semantic relations between terms is beneficial for many NLP tasks. While path-based and distributional information sources are considered complementary for this task, the superior results the latter showed recently suggested that the former’s contribution might have become obsolete. We follow the recent success of an integrated neural method for hypernymy detection (Shwartz et al., 2016) and extend it to recognize multiple relations. The empirical results show that this method is effective in the multiclass setting as well. We further show that the path-based information source always contributes to the classification, and analyze the cases in which it mostly complements the distributional information.</abstract>
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%0 Conference Proceedings
%T Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
%A Shwartz, Vered
%A Dagan, Ido
%Y Zock, Michael
%Y Lenci, Alessandro
%Y Evert, Stefan
%S Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F shwartz-dagan-2016-path
%X Recognizing various semantic relations between terms is beneficial for many NLP tasks. While path-based and distributional information sources are considered complementary for this task, the superior results the latter showed recently suggested that the former’s contribution might have become obsolete. We follow the recent success of an integrated neural method for hypernymy detection (Shwartz et al., 2016) and extend it to recognize multiple relations. The empirical results show that this method is effective in the multiclass setting as well. We further show that the path-based information source always contributes to the classification, and analyze the cases in which it mostly complements the distributional information.
%U https://aclanthology.org/W16-5304
%P 24-29

Markdown (Informal)

[Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations](https://aclanthology.org/W16-5304) (Shwartz & Dagan, CogALex 2016)

• Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations (Shwartz & Dagan, CogALex 2016)

ACL

• Vered Shwartz and Ido Dagan. 2016. Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations. In Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V), pages 24–29, Osaka, Japan. The COLING 2016 Organizing Committee.