<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="dima-etal-2019-word">
    <titleInfo>
        <title>No Word is an Island—A Transformation Weighting Model for Semantic Composition</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Corina</namePart>
        <namePart type="family">Dima</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Daniël</namePart>
        <namePart type="family">de Kok</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Neele</namePart>
        <namePart type="family">Witte</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Erhard</namePart>
        <namePart type="family">Hinrichs</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <genre authority="bibutilsgt">journal article</genre>
    <relatedItem type="host">
        <titleInfo>
            <title>Transactions of the Association for Computational Linguistics</title>
        </titleInfo>
        <originInfo>
            <issuance>continuing</issuance>
            <publisher>MIT Press</publisher>
            <place>
                <placeTerm type="text">Cambridge, MA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">periodical</genre>
        <genre authority="bibutilsgt">academic journal</genre>
    </relatedItem>
    <abstract>Composition models of distributional semantics are used to construct phrase representations from the representations of their words. Composition models are typically situated on two ends of a spectrum. They either have a small number of parameters but compose all phrases in the same way, or they perform word-specific compositions at the cost of a far larger number of parameters. In this paper we propose transformation weighting (TransWeight), a composition model that consistently outperforms existing models on nominal compounds, adjective-noun phrases, and adverb-adjective phrases in English, German, and Dutch. TransWeight drastically reduces the number of parameters needed compared with the best model in the literature by composing similar words in the same way.</abstract>
    <identifier type="citekey">dima-etal-2019-word</identifier>
    <identifier type="doi">10.1162/tacl_a_00275</identifier>
    <location>
        <url>https://aclanthology.org/Q19-1025</url>
    </location>
    <part>
        <date>2019</date>
        <detail type="volume"><number>7</number></detail>
        <extent unit="page">
            <start>437</start>
            <end>451</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Journal Article
%T No Word is an Island—A Transformation Weighting Model for Semantic Composition
%A Dima, Corina
%A de Kok, Daniël
%A Witte, Neele
%A Hinrichs, Erhard
%J Transactions of the Association for Computational Linguistics
%D 2019
%V 7
%I MIT Press
%C Cambridge, MA
%F dima-etal-2019-word
%X Composition models of distributional semantics are used to construct phrase representations from the representations of their words. Composition models are typically situated on two ends of a spectrum. They either have a small number of parameters but compose all phrases in the same way, or they perform word-specific compositions at the cost of a far larger number of parameters. In this paper we propose transformation weighting (TransWeight), a composition model that consistently outperforms existing models on nominal compounds, adjective-noun phrases, and adverb-adjective phrases in English, German, and Dutch. TransWeight drastically reduces the number of parameters needed compared with the best model in the literature by composing similar words in the same way.
%R 10.1162/tacl_a_00275
%U https://aclanthology.org/Q19-1025
%U https://doi.org/10.1162/tacl_a_00275
%P 437-451

Markdown (Informal)

[No Word is an Island—A Transformation Weighting Model for Semantic Composition](https://aclanthology.org/Q19-1025) (Dima et al., TACL 2019)

• No Word is an Island—A Transformation Weighting Model for Semantic Composition (Dima et al., TACL 2019)

ACL

• Corina Dima, Daniël de Kok, Neele Witte, and Erhard Hinrichs. 2019. No Word is an Island—A Transformation Weighting Model for Semantic Composition. Transactions of the Association for Computational Linguistics, 7:437–451.