<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="lewis-steedman-2013-combined">
    <titleInfo>
        <title>Combined Distributional and Logical Semantics</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Mike</namePart>
        <namePart type="family">Lewis</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Mark</namePart>
        <namePart type="family">Steedman</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2013</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>We introduce a new approach to semantics which combines the benefits of distributional and formal logical semantics. Distributional models have been successful in modelling the meanings of content words, but logical semantics is necessary to adequately represent many function words. We follow formal semantics in mapping language to logical representations, but differ in that the relational constants used are induced by offline distributional clustering at the level of predicate-argument structure. Our clustering algorithm is highly scalable, allowing us to run on corpora the size of Gigaword. Different senses of a word are disambiguated based on their induced types. We outperform a variety of existing approaches on a wide-coverage question answering task, and demonstrate the ability to make complex multi-sentence inferences involving quantifiers on the FraCaS suite.</abstract>
    <identifier type="citekey">lewis-steedman-2013-combined</identifier>
    <identifier type="doi">10.1162/tacl_a_00219</identifier>
    <location>
        <url>https://aclanthology.org/Q13-1015</url>
    </location>
    <part>
        <date>2013</date>
        <detail type="volume"><number>1</number></detail>
        <extent unit="page">
            <start>179</start>
            <end>192</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Journal Article
%T Combined Distributional and Logical Semantics
%A Lewis, Mike
%A Steedman, Mark
%J Transactions of the Association for Computational Linguistics
%D 2013
%V 1
%I MIT Press
%C Cambridge, MA
%F lewis-steedman-2013-combined
%X We introduce a new approach to semantics which combines the benefits of distributional and formal logical semantics. Distributional models have been successful in modelling the meanings of content words, but logical semantics is necessary to adequately represent many function words. We follow formal semantics in mapping language to logical representations, but differ in that the relational constants used are induced by offline distributional clustering at the level of predicate-argument structure. Our clustering algorithm is highly scalable, allowing us to run on corpora the size of Gigaword. Different senses of a word are disambiguated based on their induced types. We outperform a variety of existing approaches on a wide-coverage question answering task, and demonstrate the ability to make complex multi-sentence inferences involving quantifiers on the FraCaS suite.
%R 10.1162/tacl_a_00219
%U https://aclanthology.org/Q13-1015
%U https://doi.org/10.1162/tacl_a_00219
%P 179-192

Markdown (Informal)

[Combined Distributional and Logical Semantics](https://aclanthology.org/Q13-1015) (Lewis & Steedman, TACL 2013)

• Combined Distributional and Logical Semantics (Lewis & Steedman, TACL 2013)

ACL

• Mike Lewis and Mark Steedman. 2013. Combined Distributional and Logical Semantics. Transactions of the Association for Computational Linguistics, 1:179–192.