<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="williamson-etal-2021-intensionalizing">
    <titleInfo>
        <title>Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Gregor</namePart>
        <namePart type="family">Williamson</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Patrick</namePart>
        <namePart type="family">Elliott</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yuxin</namePart>
        <namePart type="family">Ji</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2021-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Claire</namePart>
            <namePart type="family">Bonial</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Nianwen</namePart>
            <namePart type="family">Xue</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Punta Cana, Dominican Republic</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Abstract Meaning Representation (AMR) is a graphical meaning representation language designed to represent propositional information about argument structure. However, at present it is unable to satisfyingly represent non-veridical intensional contexts, often licensing inappropriate inferences. In this paper, we show how to resolve the problem of non-veridicality without appealing to layered graphs through a mapping from AMRs into Simply-Typed Lambda Calculus (STLC). At least for some cases, this requires the introduction of a new role :content which functions as an intensional operator. The translation proposed is inspired by the formal linguistics literature on the event semantics of attitude reports. Next, we address the interaction of quantifier scope and intensional operators in so-called de re/de dicto ambiguities. We adopt a scope node from the literature and provide an explicit multidimensional semantics utilizing Cooper storage which allows us to derive the de re and de dicto scope readings as well as intermediate scope readings which prove difficult for accounts without a scope node.</abstract>
    <identifier type="citekey">williamson-etal-2021-intensionalizing</identifier>
    <identifier type="doi">10.18653/v1/2021.law-1.17</identifier>
    <location>
        <url>https://aclanthology.org/2021.law-1.17</url>
    </location>
    <part>
        <date>2021-11</date>
        <extent unit="page">
            <start>160</start>
            <end>169</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope
%A Williamson, Gregor
%A Elliott, Patrick
%A Ji, Yuxin
%Y Bonial, Claire
%Y Xue, Nianwen
%S Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic
%F williamson-etal-2021-intensionalizing
%X Abstract Meaning Representation (AMR) is a graphical meaning representation language designed to represent propositional information about argument structure. However, at present it is unable to satisfyingly represent non-veridical intensional contexts, often licensing inappropriate inferences. In this paper, we show how to resolve the problem of non-veridicality without appealing to layered graphs through a mapping from AMRs into Simply-Typed Lambda Calculus (STLC). At least for some cases, this requires the introduction of a new role :content which functions as an intensional operator. The translation proposed is inspired by the formal linguistics literature on the event semantics of attitude reports. Next, we address the interaction of quantifier scope and intensional operators in so-called de re/de dicto ambiguities. We adopt a scope node from the literature and provide an explicit multidimensional semantics utilizing Cooper storage which allows us to derive the de re and de dicto scope readings as well as intermediate scope readings which prove difficult for accounts without a scope node.
%R 10.18653/v1/2021.law-1.17
%U https://aclanthology.org/2021.law-1.17
%U https://doi.org/10.18653/v1/2021.law-1.17
%P 160-169

Markdown (Informal)

[Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope](https://aclanthology.org/2021.law-1.17) (Williamson et al., LAW 2021)

• Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope (Williamson et al., LAW 2021)

ACL

• Gregor Williamson, Patrick Elliott, and Yuxin Ji. 2021. Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope. In Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop, pages 160–169, Punta Cana, Dominican Republic. Association for Computational Linguistics.