<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="jo-etal-2019-cascade">
    <titleInfo>
        <title>A Cascade Model for Proposition Extraction in Argumentation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Yohan</namePart>
        <namePart type="family">Jo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jacky</namePart>
        <namePart type="family">Visser</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Chris</namePart>
        <namePart type="family">Reed</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Eduard</namePart>
        <namePart type="family">Hovy</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 6th Workshop on Argument Mining</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Benno</namePart>
            <namePart type="family">Stein</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Henning</namePart>
            <namePart type="family">Wachsmuth</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 to tackle a fundamental but understudied problem in computational argumentation: proposition extraction. Propositions are the basic units of an argument and the primary building blocks of most argument mining systems. However, they are usually substituted by argumentative discourse units obtained via surface-level text segmentation, which may yield text segments that lack semantic information necessary for subsequent argument mining processes. In contrast, our cascade model aims to extract complete propositions by handling anaphora resolution, text segmentation, reported speech, questions, imperatives, missing subjects, and revision. We formulate each task as a computational problem and test various models using a corpus of the 2016 U.S. presidential debates. We show promising performance for some tasks and discuss main challenges in proposition extraction.</abstract>
    <identifier type="citekey">jo-etal-2019-cascade</identifier>
    <identifier type="doi">10.18653/v1/W19-4502</identifier>
    <location>
        <url>https://aclanthology.org/W19-4502</url>
    </location>
    <part>
        <date>2019-08</date>
        <extent unit="page">
            <start>11</start>
            <end>24</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T A Cascade Model for Proposition Extraction in Argumentation
%A Jo, Yohan
%A Visser, Jacky
%A Reed, Chris
%A Hovy, Eduard
%Y Stein, Benno
%Y Wachsmuth, Henning
%S Proceedings of the 6th Workshop on Argument Mining
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F jo-etal-2019-cascade
%X We present a model to tackle a fundamental but understudied problem in computational argumentation: proposition extraction. Propositions are the basic units of an argument and the primary building blocks of most argument mining systems. However, they are usually substituted by argumentative discourse units obtained via surface-level text segmentation, which may yield text segments that lack semantic information necessary for subsequent argument mining processes. In contrast, our cascade model aims to extract complete propositions by handling anaphora resolution, text segmentation, reported speech, questions, imperatives, missing subjects, and revision. We formulate each task as a computational problem and test various models using a corpus of the 2016 U.S. presidential debates. We show promising performance for some tasks and discuss main challenges in proposition extraction.
%R 10.18653/v1/W19-4502
%U https://aclanthology.org/W19-4502
%U https://doi.org/10.18653/v1/W19-4502
%P 11-24

Markdown (Informal)

[A Cascade Model for Proposition Extraction in Argumentation](https://aclanthology.org/W19-4502) (Jo et al., ArgMining 2019)

• A Cascade Model for Proposition Extraction in Argumentation (Jo et al., ArgMining 2019)

ACL

• Yohan Jo, Jacky Visser, Chris Reed, and Eduard Hovy. 2019. A Cascade Model for Proposition Extraction in Argumentation. In Proceedings of the 6th Workshop on Argument Mining, pages 11–24, Florence, Italy. Association for Computational Linguistics.