<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kaur-molla-2018-supervised">
    <titleInfo>
        <title>Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Mandeep</namePart>
        <namePart type="family">Kaur</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Diego</namePart>
        <namePart type="family">Mollá</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-10</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Alberto</namePart>
            <namePart type="family">Lavelli</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Anne-Lyse</namePart>
            <namePart type="family">Minard</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Fabio</namePart>
            <namePart type="family">Rinaldi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Brussels, Belgium</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>The automation of text summarisation of biomedical publications is a pressing need due to the plethora of information available online. This paper explores the impact of several supervised machine learning approaches for extracting multi-document summaries for given queries. In particular, we compare classification and regression approaches for query-based extractive summarisation using data provided by the BioASQ Challenge. We tackled the problem of annotating sentences for training classification systems and show that a simple annotation approach outperforms regression-based summarisation.</abstract>
    <identifier type="citekey">kaur-molla-2018-supervised</identifier>
    <identifier type="doi">10.18653/v1/W18-5604</identifier>
    <location>
        <url>https://aclanthology.org/W18-5604</url>
    </location>
    <part>
        <date>2018-10</date>
        <extent unit="page">
            <start>29</start>
            <end>37</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data
%A Kaur, Mandeep
%A Mollá, Diego
%Y Lavelli, Alberto
%Y Minard, Anne-Lyse
%Y Rinaldi, Fabio
%S Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F kaur-molla-2018-supervised
%X The automation of text summarisation of biomedical publications is a pressing need due to the plethora of information available online. This paper explores the impact of several supervised machine learning approaches for extracting multi-document summaries for given queries. In particular, we compare classification and regression approaches for query-based extractive summarisation using data provided by the BioASQ Challenge. We tackled the problem of annotating sentences for training classification systems and show that a simple annotation approach outperforms regression-based summarisation.
%R 10.18653/v1/W18-5604
%U https://aclanthology.org/W18-5604
%U https://doi.org/10.18653/v1/W18-5604
%P 29-37

Markdown (Informal)

[Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data](https://aclanthology.org/W18-5604) (Kaur & Mollá, Louhi 2018)

• Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data (Kaur & Mollá, Louhi 2018)

ACL

• Mandeep Kaur and Diego Mollá. 2018. Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data. In Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, pages 29–37, Brussels, Belgium. Association for Computational Linguistics.