<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="karan-etal-2020-classification">
    <titleInfo>
        <title>Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Mladen</namePart>
        <namePart type="family">Karan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ivan</namePart>
        <namePart type="family">Vulić</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Anna</namePart>
        <namePart type="family">Korhonen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Goran</namePart>
        <namePart type="family">Glavaš</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Dan</namePart>
            <namePart type="family">Jurafsky</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Joyce</namePart>
            <namePart type="family">Chai</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Natalie</namePart>
            <namePart type="family">Schluter</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Joel</namePart>
            <namePart type="family">Tetreault</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Effective projection-based cross-lingual word embedding (CLWE) induction critically relies on the iterative self-learning procedure. It gradually expands the initial small seed dictionary to learn improved cross-lingual mappings. In this work, we present ClassyMap, a classification-based approach to self-learning, yielding a more robust and a more effective induction of projection-based CLWEs. Unlike prior self-learning methods, our approach allows for integration of diverse features into the iterative process. We show the benefits of ClassyMap for bilingual lexicon induction: we report consistent improvements in a weakly supervised setup (500 seed translation pairs) on a benchmark with 28 language pairs.</abstract>
    <identifier type="citekey">karan-etal-2020-classification</identifier>
    <identifier type="doi">10.18653/v1/2020.acl-main.618</identifier>
    <location>
        <url>https://aclanthology.org/2020.acl-main.618</url>
    </location>
    <part>
        <date>2020-07</date>
        <extent unit="page">
            <start>6915</start>
            <end>6922</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction
%A Karan, Mladen
%A Vulić, Ivan
%A Korhonen, Anna
%A Glavaš, Goran
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F karan-etal-2020-classification
%X Effective projection-based cross-lingual word embedding (CLWE) induction critically relies on the iterative self-learning procedure. It gradually expands the initial small seed dictionary to learn improved cross-lingual mappings. In this work, we present ClassyMap, a classification-based approach to self-learning, yielding a more robust and a more effective induction of projection-based CLWEs. Unlike prior self-learning methods, our approach allows for integration of diverse features into the iterative process. We show the benefits of ClassyMap for bilingual lexicon induction: we report consistent improvements in a weakly supervised setup (500 seed translation pairs) on a benchmark with 28 language pairs.
%R 10.18653/v1/2020.acl-main.618
%U https://aclanthology.org/2020.acl-main.618
%U https://doi.org/10.18653/v1/2020.acl-main.618
%P 6915-6922

Markdown (Informal)

[Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction](https://aclanthology.org/2020.acl-main.618) (Karan et al., ACL 2020)

• Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction (Karan et al., ACL 2020)

ACL

• Mladen Karan, Ivan Vulić, Anna Korhonen, and Goran Glavaš. 2020. Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 6915–6922, Online. Association for Computational Linguistics.