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        <title>Data for question answering: The case of why</title>
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        <namePart type="given">Suzan</namePart>
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        <namePart type="given">Lou</namePart>
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    <name type="personal">
        <namePart type="given">Nelleke</namePart>
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    <name type="personal">
        <namePart type="given">Peter-Arno</namePart>
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        <dateIssued>2006-may</dateIssued>
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            <title>Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)</title>
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            <publisher>European Language Resources Association (ELRA)</publisher>
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    <abstract>For research and development of an approach for automatically answering why-questions (why-QA) a data collection was created. The data set was obtained by way of elicitation and comprises a total of 395 why-questions. For each question, the data set includes the source document and one or two user-formulated answers. In addition, for a subset of the questions, user-formulated paraphrases are available. All question-answer pairs have been annotated with information on topic and semantic answer type. The resulting data set is of importance not only for our research, but we expect it to contribute to and stimulate other research in the field of why-QA.</abstract>
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%0 Conference Proceedings
%T Data for question answering: The case of why
%A Verberne, Suzan
%A Boves, Lou
%A Oostdijk, Nelleke
%A Coppen, Peter-Arno
%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 verberne-etal-2006-data
%X For research and development of an approach for automatically answering why-questions (why-QA) a data collection was created. The data set was obtained by way of elicitation and comprises a total of 395 why-questions. For each question, the data set includes the source document and one or two user-formulated answers. In addition, for a subset of the questions, user-formulated paraphrases are available. All question-answer pairs have been annotated with information on topic and semantic answer type. The resulting data set is of importance not only for our research, but we expect it to contribute to and stimulate other research in the field of why-QA.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/525_pdf.pdf

Markdown (Informal)

[Data for question answering: The case of why](http://www.lrec-conf.org/proceedings/lrec2006/pdf/525_pdf.pdf) (Verberne et al., LREC 2006)

• Data for question answering: The case of why (Verberne et al., LREC 2006)

ACL

• Suzan Verberne, Lou Boves, Nelleke Oostdijk, and Peter-Arno Coppen. 2006. Data for question answering: The case of why. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).