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    <abstract>Distinguishing between antonyms and synonyms is a key task to achieve high performance in NLP systems. While they are notoriously difficult to distinguish by distributional co-occurrence models, pattern-based methods have proven effective to differentiate between the relations. In this paper, we present a novel neural network model AntSynNET that exploits lexico-syntactic patterns from syntactic parse trees. In addition to the lexical and syntactic information, we successfully integrate the distance between the related words along the syntactic path as a new pattern feature. The results from classification experiments show that AntSynNET improves the performance over prior pattern-based methods.</abstract>
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%0 Conference Proceedings
%T Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
%A Nguyen, Kim Anh
%A Schulte im Walde, Sabine
%A Vu, Ngoc Thang
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
%D 2017
%8 apr
%I Association for Computational Linguistics
%C Valencia, Spain
%F nguyen-etal-2017-distinguishing
%X Distinguishing between antonyms and synonyms is a key task to achieve high performance in NLP systems. While they are notoriously difficult to distinguish by distributional co-occurrence models, pattern-based methods have proven effective to differentiate between the relations. In this paper, we present a novel neural network model AntSynNET that exploits lexico-syntactic patterns from syntactic parse trees. In addition to the lexical and syntactic information, we successfully integrate the distance between the related words along the syntactic path as a new pattern feature. The results from classification experiments show that AntSynNET improves the performance over prior pattern-based methods.
%U https://aclanthology.org/E17-1008
%P 76-85

Markdown (Informal)

[Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network](https://aclanthology.org/E17-1008) (Nguyen et al., EACL 2017)

• Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network (Nguyen et al., EACL 2017)

ACL

• Kim Anh Nguyen, Sabine Schulte im Walde, and Ngoc Thang Vu. 2017. Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 76–85, Valencia, Spain. Association for Computational Linguistics.