<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="gupta-etal-2017-exploiting">
    <titleInfo>
        <title>Exploiting Morphological Regularities in Distributional Word Representations</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Arihant</namePart>
        <namePart type="family">Gupta</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Syed</namePart>
        <namePart type="given">Sarfaraz</namePart>
        <namePart type="family">Akhtar</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Avijit</namePart>
        <namePart type="family">Vajpayee</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Arjit</namePart>
        <namePart type="family">Srivastava</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Madan</namePart>
        <namePart type="given">Gopal</namePart>
        <namePart type="family">Jhanwar</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Manish</namePart>
        <namePart type="family">Shrivastava</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Martha</namePart>
            <namePart type="family">Palmer</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Rebecca</namePart>
            <namePart type="family">Hwa</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Sebastian</namePart>
            <namePart type="family">Riedel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Copenhagen, Denmark</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We present an unsupervised, language agnostic approach for exploiting morphological regularities present in high dimensional vector spaces. We propose a novel method for generating embeddings of words from their morphological variants using morphological transformation operators. We evaluate this approach on MSR word analogy test set with an accuracy of 85% which is 12% higher than the previous best known system.</abstract>
    <identifier type="citekey">gupta-etal-2017-exploiting</identifier>
    <identifier type="doi">10.18653/v1/D17-1028</identifier>
    <location>
        <url>https://aclanthology.org/D17-1028</url>
    </location>
    <part>
        <date>2017-09</date>
        <extent unit="page">
            <start>292</start>
            <end>297</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Exploiting Morphological Regularities in Distributional Word Representations
%A Gupta, Arihant
%A Akhtar, Syed Sarfaraz
%A Vajpayee, Avijit
%A Srivastava, Arjit
%A Jhanwar, Madan Gopal
%A Shrivastava, Manish
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F gupta-etal-2017-exploiting
%X We present an unsupervised, language agnostic approach for exploiting morphological regularities present in high dimensional vector spaces. We propose a novel method for generating embeddings of words from their morphological variants using morphological transformation operators. We evaluate this approach on MSR word analogy test set with an accuracy of 85% which is 12% higher than the previous best known system.
%R 10.18653/v1/D17-1028
%U https://aclanthology.org/D17-1028
%U https://doi.org/10.18653/v1/D17-1028
%P 292-297

Markdown (Informal)

[Exploiting Morphological Regularities in Distributional Word Representations](https://aclanthology.org/D17-1028) (Gupta et al., EMNLP 2017)

• Exploiting Morphological Regularities in Distributional Word Representations (Gupta et al., EMNLP 2017)

ACL

• Arihant Gupta, Syed Sarfaraz Akhtar, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhanwar, and Manish Shrivastava. 2017. Exploiting Morphological Regularities in Distributional Word Representations. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 292–297, Copenhagen, Denmark. Association for Computational Linguistics.