<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="suster-etal-2017-short">
    <titleInfo>
        <title>A Short Review of Ethical Challenges in Clinical Natural Language Processing</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Simon</namePart>
        <namePart type="family">Šuster</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Stéphan</namePart>
        <namePart type="family">Tulkens</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Walter</namePart>
        <namePart type="family">Daelemans</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-apr</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the First ACL Workshop on Ethics in Natural Language Processing</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Valencia, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Clinical NLP has an immense potential in contributing to how clinical practice will be revolutionized by the advent of large scale processing of clinical records. However, this potential has remained largely untapped due to slow progress primarily caused by strict data access policies for researchers. In this paper, we discuss the concern for privacy and the measures it entails. We also suggest sources of less sensitive data. Finally, we draw attention to biases that can compromise the validity of empirical research and lead to socially harmful applications.</abstract>
    <identifier type="citekey">suster-etal-2017-short</identifier>
    <identifier type="doi">10.18653/v1/W17-1610</identifier>
    <location>
        <url>https://aclanthology.org/W17-1610</url>
    </location>
    <part>
        <date>2017-apr</date>
        <extent unit="page">
            <start>80</start>
            <end>87</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T A Short Review of Ethical Challenges in Clinical Natural Language Processing
%A Šuster, Simon
%A Tulkens, Stéphan
%A Daelemans, Walter
%S Proceedings of the First ACL Workshop on Ethics in Natural Language Processing
%D 2017
%8 apr
%I Association for Computational Linguistics
%C Valencia, Spain
%F suster-etal-2017-short
%X Clinical NLP has an immense potential in contributing to how clinical practice will be revolutionized by the advent of large scale processing of clinical records. However, this potential has remained largely untapped due to slow progress primarily caused by strict data access policies for researchers. In this paper, we discuss the concern for privacy and the measures it entails. We also suggest sources of less sensitive data. Finally, we draw attention to biases that can compromise the validity of empirical research and lead to socially harmful applications.
%R 10.18653/v1/W17-1610
%U https://aclanthology.org/W17-1610
%U https://doi.org/10.18653/v1/W17-1610
%P 80-87

Markdown (Informal)

[A Short Review of Ethical Challenges in Clinical Natural Language Processing](https://aclanthology.org/W17-1610) (Šuster et al., 2017)

• A Short Review of Ethical Challenges in Clinical Natural Language Processing (Šuster et al., 2017)

ACL

• Simon Šuster, Stéphan Tulkens, and Walter Daelemans. 2017. A Short Review of Ethical Challenges in Clinical Natural Language Processing. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, pages 80–87, Valencia, Spain. Association for Computational Linguistics.