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        <title>A Predictive Model for Notional Anaphora in English</title>
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            <title>Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference</title>
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            <namePart type="given">Massimo</namePart>
            <namePart type="family">Poesio</namePart>
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        <name type="personal">
            <namePart type="given">Vincent</namePart>
            <namePart type="family">Ng</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Maciej</namePart>
            <namePart type="family">Ogrodniczuk</namePart>
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    <abstract>Notional anaphors are pronouns which disagree with their antecedents’ grammatical categories for notional reasons, such as plural to singular agreement in: “the government ... they”. Since such cases are rare and conflict with evidence from strictly agreeing cases (“the government ... it”), they present a substantial challenge to both coreference resolution and referring expression generation. Using the OntoNotes corpus, this paper takes an ensemble approach to predicting English notional anaphora in context on the basis of the largest empirical data to date. In addition to state of the art prediction accuracy, the results suggest that theoretical approaches positing a plural construal at the antecedent’s utterance are insufficient, and that circumstances at the anaphor’s utterance location, as well as global factors such as genre, have a strong effect on the choice of referring expression.</abstract>
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    <identifier type="doi">10.18653/v1/W18-0704</identifier>
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        <date>2018-06</date>
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%0 Conference Proceedings
%T A Predictive Model for Notional Anaphora in English
%A Zeldes, Amir
%Y Poesio, Massimo
%Y Ng, Vincent
%Y Ogrodniczuk, Maciej
%S Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F zeldes-2018-predictive
%X Notional anaphors are pronouns which disagree with their antecedents’ grammatical categories for notional reasons, such as plural to singular agreement in: “the government ... they”. Since such cases are rare and conflict with evidence from strictly agreeing cases (“the government ... it”), they present a substantial challenge to both coreference resolution and referring expression generation. Using the OntoNotes corpus, this paper takes an ensemble approach to predicting English notional anaphora in context on the basis of the largest empirical data to date. In addition to state of the art prediction accuracy, the results suggest that theoretical approaches positing a plural construal at the antecedent’s utterance are insufficient, and that circumstances at the anaphor’s utterance location, as well as global factors such as genre, have a strong effect on the choice of referring expression.
%R 10.18653/v1/W18-0704
%U https://aclanthology.org/W18-0704
%U https://doi.org/10.18653/v1/W18-0704
%P 34-43

Markdown (Informal)

[A Predictive Model for Notional Anaphora in English](https://aclanthology.org/W18-0704) (Zeldes, CRAC 2018)

• A Predictive Model for Notional Anaphora in English (Zeldes, CRAC 2018)

ACL

• Amir Zeldes. 2018. A Predictive Model for Notional Anaphora in English. In Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference, pages 34–43, New Orleans, Louisiana. Association for Computational Linguistics.