<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wieting-etal-2019-simple">
    <titleInfo>
        <title>Simple and Effective Paraphrastic Similarity from Parallel Translations</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">John</namePart>
        <namePart type="family">Wieting</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Kevin</namePart>
        <namePart type="family">Gimpel</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Graham</namePart>
        <namePart type="family">Neubig</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Taylor</namePart>
        <namePart type="family">Berg-Kirkpatrick</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Anna</namePart>
            <namePart type="family">Korhonen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">David</namePart>
            <namePart type="family">Traum</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">Florence, Italy</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We present a model and methodology for learning paraphrastic sentence embeddings directly from bitext, removing the time-consuming intermediate step of creating para-phrase corpora. Further, we show that the resulting model can be applied to cross lingual tasks where it both outperforms and is orders of magnitude faster than more complex state-of-the-art baselines.</abstract>
    <identifier type="citekey">wieting-etal-2019-simple</identifier>
    <identifier type="doi">10.18653/v1/P19-1453</identifier>
    <location>
        <url>https://aclanthology.org/P19-1453</url>
    </location>
    <part>
        <date>2019-07</date>
        <extent unit="page">
            <start>4602</start>
            <end>4608</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Simple and Effective Paraphrastic Similarity from Parallel Translations
%A Wieting, John
%A Gimpel, Kevin
%A Neubig, Graham
%A Berg-Kirkpatrick, Taylor
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F wieting-etal-2019-simple
%X We present a model and methodology for learning paraphrastic sentence embeddings directly from bitext, removing the time-consuming intermediate step of creating para-phrase corpora. Further, we show that the resulting model can be applied to cross lingual tasks where it both outperforms and is orders of magnitude faster than more complex state-of-the-art baselines.
%R 10.18653/v1/P19-1453
%U https://aclanthology.org/P19-1453
%U https://doi.org/10.18653/v1/P19-1453
%P 4602-4608

Markdown (Informal)

[Simple and Effective Paraphrastic Similarity from Parallel Translations](https://aclanthology.org/P19-1453) (Wieting et al., ACL 2019)

• Simple and Effective Paraphrastic Similarity from Parallel Translations (Wieting et al., ACL 2019)

ACL

• John Wieting, Kevin Gimpel, Graham Neubig, and Taylor Berg-Kirkpatrick. 2019. Simple and Effective Paraphrastic Similarity from Parallel Translations. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4602–4608, Florence, Italy. Association for Computational Linguistics.