<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="rajana-etal-2017-learning">
    <titleInfo>
        <title>Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Sneha</namePart>
        <namePart type="family">Rajana</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Chris</namePart>
        <namePart type="family">Callison-Burch</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Marianna</namePart>
        <namePart type="family">Apidianaki</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vered</namePart>
        <namePart type="family">Shwartz</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Nancy</namePart>
            <namePart type="family">Ide</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Aurélie</namePart>
            <namePart type="family">Herbelot</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Lluís</namePart>
            <namePart type="family">Màrquez</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Vancouver, Canada</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Recognizing and distinguishing antonyms from other types of semantic relations is an essential part of language understanding systems. In this paper, we present a novel method for deriving antonym pairs using paraphrase pairs containing negation markers. We further propose a neural network model, AntNET, that integrates morphological features indicative of antonymy into a path-based relation detection algorithm. We demonstrate that our model outperforms state-of-the-art models in distinguishing antonyms from other semantic relations and is capable of efficiently handling multi-word expressions.</abstract>
    <identifier type="citekey">rajana-etal-2017-learning</identifier>
    <identifier type="doi">10.18653/v1/S17-1002</identifier>
    <location>
        <url>https://aclanthology.org/S17-1002</url>
    </location>
    <part>
        <date>2017-08</date>
        <extent unit="page">
            <start>12</start>
            <end>21</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network
%A Rajana, Sneha
%A Callison-Burch, Chris
%A Apidianaki, Marianna
%A Shwartz, Vered
%Y Ide, Nancy
%Y Herbelot, Aurélie
%Y Màrquez, Lluís
%S Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F rajana-etal-2017-learning
%X Recognizing and distinguishing antonyms from other types of semantic relations is an essential part of language understanding systems. In this paper, we present a novel method for deriving antonym pairs using paraphrase pairs containing negation markers. We further propose a neural network model, AntNET, that integrates morphological features indicative of antonymy into a path-based relation detection algorithm. We demonstrate that our model outperforms state-of-the-art models in distinguishing antonyms from other semantic relations and is capable of efficiently handling multi-word expressions.
%R 10.18653/v1/S17-1002
%U https://aclanthology.org/S17-1002
%U https://doi.org/10.18653/v1/S17-1002
%P 12-21

Markdown (Informal)

[Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network](https://aclanthology.org/S17-1002) (Rajana et al., *SEM 2017)

• Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network (Rajana et al., *SEM 2017)

ACL

• Sneha Rajana, Chris Callison-Burch, Marianna Apidianaki, and Vered Shwartz. 2017. Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network. In Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017), pages 12–21, Vancouver, Canada. Association for Computational Linguistics.