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        <title>Two Layers of Annotation for Representing Event Mentions in News Stories</title>
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    <name type="personal">
        <namePart type="given">Maria</namePart>
        <namePart type="given">Pia</namePart>
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        <namePart type="given">Martin</namePart>
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    <name type="personal">
        <namePart type="given">Goran</namePart>
        <namePart type="family">Glavaš</namePart>
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    <name type="personal">
        <namePart type="given">Bojana</namePart>
        <namePart type="family">Dalbelo Bašić</namePart>
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    <name type="personal">
        <namePart type="given">Nataša</namePart>
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            <title>Proceedings of the 11th Linguistic Annotation Workshop</title>
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            <namePart type="given">Nathan</namePart>
            <namePart type="family">Schneider</namePart>
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            <namePart type="given">Nianwen</namePart>
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    <abstract>In this paper, we describe our preliminary study on annotating event mention as a part of our research on high-precision news event extraction models. To this end, we propose a two-layer annotation scheme, designed to separately capture the functional and conceptual aspects of event mentions. We hypothesize that the precision of models can be improved by modeling and extracting separately the different aspects of news events, and then combining the extracted information by leveraging the complementarities of the models. In addition, we carry out a preliminary annotation using the proposed scheme and analyze the annotation quality in terms of inter-annotator agreement.</abstract>
    <identifier type="citekey">di-buono-etal-2017-two</identifier>
    <identifier type="doi">10.18653/v1/W17-0810</identifier>
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%0 Conference Proceedings
%T Two Layers of Annotation for Representing Event Mentions in News Stories
%A di Buono, Maria Pia
%A Tutek, Martin
%A Šnajder, Jan
%A Glavaš, Goran
%A Dalbelo Bašić, Bojana
%A Milić-Frayling, Nataša
%Y Schneider, Nathan
%Y Xue, Nianwen
%S Proceedings of the 11th Linguistic Annotation Workshop
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F di-buono-etal-2017-two
%X In this paper, we describe our preliminary study on annotating event mention as a part of our research on high-precision news event extraction models. To this end, we propose a two-layer annotation scheme, designed to separately capture the functional and conceptual aspects of event mentions. We hypothesize that the precision of models can be improved by modeling and extracting separately the different aspects of news events, and then combining the extracted information by leveraging the complementarities of the models. In addition, we carry out a preliminary annotation using the proposed scheme and analyze the annotation quality in terms of inter-annotator agreement.
%R 10.18653/v1/W17-0810
%U https://aclanthology.org/W17-0810
%U https://doi.org/10.18653/v1/W17-0810
%P 82-90

Markdown (Informal)

[Two Layers of Annotation for Representing Event Mentions in News Stories](https://aclanthology.org/W17-0810) (di Buono et al., LAW 2017)

• Two Layers of Annotation for Representing Event Mentions in News Stories (di Buono et al., LAW 2017)

ACL

• Maria Pia di Buono, Martin Tutek, Jan Šnajder, Goran Glavaš, Bojana Dalbelo Bašić, and Nataša Milić-Frayling. 2017. Two Layers of Annotation for Representing Event Mentions in News Stories. In Proceedings of the 11th Linguistic Annotation Workshop, pages 82–90, Valencia, Spain. Association for Computational Linguistics.