<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="loaiciga-etal-2017-disambiguating">
    <titleInfo>
        <title>What is it? Disambiguating the different readings of the pronoun ‘it’</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Sharid</namePart>
        <namePart type="family">Loáiciga</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Liane</namePart>
        <namePart type="family">Guillou</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Christian</namePart>
        <namePart type="family">Hardmeier</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Martha</namePart>
            <namePart type="family">Palmer</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Rebecca</namePart>
            <namePart type="family">Hwa</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Sebastian</namePart>
            <namePart type="family">Riedel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Copenhagen, Denmark</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper, we address the problem of predicting one of three functions for the English pronoun ‘it’: anaphoric, event reference or pleonastic. This disambiguation is valuable in the context of machine translation and coreference resolution. We present experiments using a MAXENT classifier trained on gold-standard data and self-training experiments of an RNN trained on silver-standard data, annotated using the MAXENT classifier. Lastly, we report on an analysis of the strengths of these two models.</abstract>
    <identifier type="citekey">loaiciga-etal-2017-disambiguating</identifier>
    <identifier type="doi">10.18653/v1/D17-1137</identifier>
    <location>
        <url>https://aclanthology.org/D17-1137</url>
    </location>
    <part>
        <date>2017-09</date>
        <extent unit="page">
            <start>1325</start>
            <end>1331</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T What is it? Disambiguating the different readings of the pronoun ‘it’
%A Loáiciga, Sharid
%A Guillou, Liane
%A Hardmeier, Christian
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F loaiciga-etal-2017-disambiguating
%X In this paper, we address the problem of predicting one of three functions for the English pronoun ‘it’: anaphoric, event reference or pleonastic. This disambiguation is valuable in the context of machine translation and coreference resolution. We present experiments using a MAXENT classifier trained on gold-standard data and self-training experiments of an RNN trained on silver-standard data, annotated using the MAXENT classifier. Lastly, we report on an analysis of the strengths of these two models.
%R 10.18653/v1/D17-1137
%U https://aclanthology.org/D17-1137
%U https://doi.org/10.18653/v1/D17-1137
%P 1325-1331

Markdown (Informal)

[What is it? Disambiguating the different readings of the pronoun ‘it’](https://aclanthology.org/D17-1137) (Loáiciga et al., EMNLP 2017)

• What is it? Disambiguating the different readings of the pronoun ‘it’ (Loáiciga et al., EMNLP 2017)

ACL

• Sharid Loáiciga, Liane Guillou, and Christian Hardmeier. 2017. What is it? Disambiguating the different readings of the pronoun ‘it’. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1325–1331, Copenhagen, Denmark. Association for Computational Linguistics.