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    <titleInfo>
        <title>Named Entity Extraction with Conjunction Disambiguation</title>
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    <name type="personal">
        <namePart type="given">Paweł</namePart>
        <namePart type="family">Mazur</namePart>
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            <title>Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)</title>
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        <name type="personal">
            <namePart type="given">Nicoletta</namePart>
            <namePart type="family">Calzolari</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Khalid</namePart>
            <namePart type="family">Choukri</namePart>
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            <namePart type="given">Aldo</namePart>
            <namePart type="family">Gangemi</namePart>
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        <name type="personal">
            <namePart type="given">Bente</namePart>
            <namePart type="family">Maegaard</namePart>
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        <name type="personal">
            <namePart type="given">Joseph</namePart>
            <namePart type="family">Mariani</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Jan</namePart>
            <namePart type="family">Odijk</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Daniel</namePart>
            <namePart type="family">Tapias</namePart>
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            <publisher>European Language Resources Association (ELRA)</publisher>
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    <abstract>The recognition of named entities is now a well-developed area, with a range of symbolic and machine learning techniques that deliver high accuracy extraction and categorisation of a variety of entity types. However, there are still some named entity phenomena that present problems for existing techniques; in particular, relatively little work has explored the disambiguation of conjunctions appearing in candidate named entity strings. We demonstrate that there are in fact four distinct uses of conjunctions in the context of named entities; we present some experiments using machine-learned classifiers to disambiguate the different uses of the conjunction, with 85% of test examples being correctly classified.</abstract>
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%0 Conference Proceedings
%T Named Entity Extraction with Conjunction Disambiguation
%A Mazur, Paweł
%A Dale, Robert
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F mazur-dale-2006-named
%X The recognition of named entities is now a well-developed area, with a range of symbolic and machine learning techniques that deliver high accuracy extraction and categorisation of a variety of entity types. However, there are still some named entity phenomena that present problems for existing techniques; in particular, relatively little work has explored the disambiguation of conjunctions appearing in candidate named entity strings. We demonstrate that there are in fact four distinct uses of conjunctions in the context of named entities; we present some experiments using machine-learned classifiers to disambiguate the different uses of the conjunction, with 85% of test examples being correctly classified.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/473_pdf.pdf

Markdown (Informal)

[Named Entity Extraction with Conjunction Disambiguation](http://www.lrec-conf.org/proceedings/lrec2006/pdf/473_pdf.pdf) (Mazur & Dale, LREC 2006)

• Named Entity Extraction with Conjunction Disambiguation (Mazur & Dale, LREC 2006)

ACL

• Paweł Mazur and Robert Dale. 2006. Named Entity Extraction with Conjunction Disambiguation. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).