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    <titleInfo>
        <title>An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling</title>
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    <name type="personal">
        <namePart type="given">Juri</namePart>
        <namePart type="family">Opitz</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Anette</namePart>
        <namePart type="family">Frank</namePart>
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        <dateIssued>2019-06</dateIssued>
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            <title>Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)</title>
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        <name type="personal">
            <namePart type="given">Rada</namePart>
            <namePart type="family">Mihalcea</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Shutova</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Lun-Wei</namePart>
            <namePart type="family">Ku</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Kilian</namePart>
            <namePart type="family">Evang</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Soujanya</namePart>
            <namePart type="family">Poria</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition of roles, following Dowty’s feature-based view of proto-roles. This theory determines agenthood vs. patienthood based on a participant’s instantiation of more or less typical agent vs. patient properties, such as, for example, volition in an event. To perform SPRL, we develop an ensemble of hierarchical models with self-attention and concurrently learned predicate-argument markers. Our method is competitive with the state-of-the art, overall outperforming previous work in two formulations of the task (multi-label and multi-variate Likert scale pre- diction). In contrast to previous work, our results do not depend on gold argument heads derived from supplementary gold tree banks.</abstract>
    <identifier type="citekey">opitz-frank-2019-argument</identifier>
    <identifier type="doi">10.18653/v1/S19-1025</identifier>
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        <date>2019-06</date>
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            <start>224</start>
            <end>234</end>
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%0 Conference Proceedings
%T An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling
%A Opitz, Juri
%A Frank, Anette
%Y Mihalcea, Rada
%Y Shutova, Ekaterina
%Y Ku, Lun-Wei
%Y Evang, Kilian
%Y Poria, Soujanya
%S Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F opitz-frank-2019-argument
%X Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition of roles, following Dowty’s feature-based view of proto-roles. This theory determines agenthood vs. patienthood based on a participant’s instantiation of more or less typical agent vs. patient properties, such as, for example, volition in an event. To perform SPRL, we develop an ensemble of hierarchical models with self-attention and concurrently learned predicate-argument markers. Our method is competitive with the state-of-the art, overall outperforming previous work in two formulations of the task (multi-label and multi-variate Likert scale pre- diction). In contrast to previous work, our results do not depend on gold argument heads derived from supplementary gold tree banks.
%R 10.18653/v1/S19-1025
%U https://aclanthology.org/S19-1025
%U https://doi.org/10.18653/v1/S19-1025
%P 224-234

Markdown (Informal)

[An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling](https://aclanthology.org/S19-1025) (Opitz & Frank, *SEM 2019)

• An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling (Opitz & Frank, *SEM 2019)

ACL

• Juri Opitz and Anette Frank. 2019. An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling. In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), pages 224–234, Minneapolis, Minnesota. Association for Computational Linguistics.