<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kim-etal-2018-utilizing">
    <titleInfo>
        <title>Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Eun-kyung</namePart>
        <namePart type="family">Kim</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Kijong</namePart>
        <namePart type="family">Han</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jiho</namePart>
        <namePart type="family">Kim</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Key-Sun</namePart>
        <namePart type="family">Choi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Dongyan</namePart>
            <namePart type="family">Zhao</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Santa Fe, New Mexico</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This demo deals with the problem of capturing omitted arguments in relation extraction given a proper knowledge base for entities of interest. This paper introduces the concept of a salient entity and use this information to deduce omitted entities in the paragraph which allows improving the relation extraction quality. The main idea to compute salient entities is to construct a graph on the given information (by identifying the entities but without parsing it), rank it with standard graph measures and embed it in the context of the sentences.</abstract>
    <identifier type="citekey">kim-etal-2018-utilizing</identifier>
    <location>
        <url>https://aclanthology.org/C18-2011</url>
    </location>
    <part>
        <date>2018-08</date>
        <extent unit="page">
            <start>48</start>
            <end>52</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs
%A Kim, Eun-kyung
%A Han, Kijong
%A Kim, Jiho
%A Choi, Key-Sun
%Y Zhao, Dongyan
%S Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico
%F kim-etal-2018-utilizing
%X This demo deals with the problem of capturing omitted arguments in relation extraction given a proper knowledge base for entities of interest. This paper introduces the concept of a salient entity and use this information to deduce omitted entities in the paragraph which allows improving the relation extraction quality. The main idea to compute salient entities is to construct a graph on the given information (by identifying the entities but without parsing it), rank it with standard graph measures and embed it in the context of the sentences.
%U https://aclanthology.org/C18-2011
%P 48-52

Markdown (Informal)

[Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs](https://aclanthology.org/C18-2011) (Kim et al., COLING 2018)

• Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs (Kim et al., COLING 2018)

ACL

• Eun-kyung Kim, Kijong Han, Jiho Kim, and Key-Sun Choi. 2018. Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 48–52, Santa Fe, New Mexico. Association for Computational Linguistics.