An Investigation of Deep Learning Systems for Suicide Risk Assessment

Michelle Morales; Prajjalita Dey; Thomas Theisen; Danny Belitz; Natalia Chernova

doi:10.18653/v1/W19-3023

An Investigation of Deep Learning Systems for Suicide Risk Assessment

Michelle Morales, Prajjalita Dey, Thomas Theisen, Danny Belitz, Natalia Chernova

Correct Metadata for

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the PDF.)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Abstract

This work presents the systems explored as part of the CLPsych 2019 Shared Task. More specifically, this work explores the promise of deep learning systems for suicide risk assessment.

Anthology ID:: W19-3023
Volume:: Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
Month:: June
Year:: 2019
Address:: Minneapolis, Minnesota
Editors:: Kate Niederhoffer, Kristy Hollingshead, Philip Resnik, Rebecca Resnik, Kate Loveys
Venue:: CLPsych
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 177–181
Language:
URL:: https://aclanthology.org/W19-3023/
DOI:: 10.18653/v1/W19-3023
Bibkey:
Cite (ACL):: Michelle Morales, Prajjalita Dey, Thomas Theisen, Danny Belitz, and Natalia Chernova. 2019. An Investigation of Deep Learning Systems for Suicide Risk Assessment. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pages 177–181, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):: An Investigation of Deep Learning Systems for Suicide Risk Assessment (Morales et al., CLPsych 2019)
Copy Citation:
PDF:: https://aclanthology.org/W19-3023.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{morales-etal-2019-investigation,
    title = "An Investigation of Deep Learning Systems for Suicide Risk Assessment",
    author = "Morales, Michelle  and
      Dey, Prajjalita  and
      Theisen, Thomas  and
      Belitz, Danny  and
      Chernova, Natalia",
    editor = "Niederhoffer, Kate  and
      Hollingshead, Kristy  and
      Resnik, Philip  and
      Resnik, Rebecca  and
      Loveys, Kate",
    booktitle = "Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-3023/",
    doi = "10.18653/v1/W19-3023",
    pages = "177--181",
    abstract = "This work presents the systems explored as part of the CLPsych 2019 Shared Task. More specifically, this work explores the promise of deep learning systems for suicide risk assessment."
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="morales-etal-2019-investigation">
    <titleInfo>
        <title>An Investigation of Deep Learning Systems for Suicide Risk Assessment</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Michelle</namePart>
        <namePart type="family">Morales</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Prajjalita</namePart>
        <namePart type="family">Dey</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Thomas</namePart>
        <namePart type="family">Theisen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Danny</namePart>
        <namePart type="family">Belitz</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Natalia</namePart>
        <namePart type="family">Chernova</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-06</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Kate</namePart>
            <namePart type="family">Niederhoffer</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Kristy</namePart>
            <namePart type="family">Hollingshead</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Philip</namePart>
            <namePart type="family">Resnik</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Rebecca</namePart>
            <namePart type="family">Resnik</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Kate</namePart>
            <namePart type="family">Loveys</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Minneapolis, Minnesota</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This work presents the systems explored as part of the CLPsych 2019 Shared Task. More specifically, this work explores the promise of deep learning systems for suicide risk assessment.</abstract>
    <identifier type="citekey">morales-etal-2019-investigation</identifier>
    <identifier type="doi">10.18653/v1/W19-3023</identifier>
    <location>
        <url>https://aclanthology.org/W19-3023/</url>
    </location>
    <part>
        <date>2019-06</date>
        <extent unit="page">
            <start>177</start>
            <end>181</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T An Investigation of Deep Learning Systems for Suicide Risk Assessment
%A Morales, Michelle
%A Dey, Prajjalita
%A Theisen, Thomas
%A Belitz, Danny
%A Chernova, Natalia
%Y Niederhoffer, Kate
%Y Hollingshead, Kristy
%Y Resnik, Philip
%Y Resnik, Rebecca
%Y Loveys, Kate
%S Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F morales-etal-2019-investigation
%X This work presents the systems explored as part of the CLPsych 2019 Shared Task. More specifically, this work explores the promise of deep learning systems for suicide risk assessment.
%R 10.18653/v1/W19-3023
%U https://aclanthology.org/W19-3023/
%U https://doi.org/10.18653/v1/W19-3023
%P 177-181

Download as File

Markdown (Informal)

[An Investigation of Deep Learning Systems for Suicide Risk Assessment](https://aclanthology.org/W19-3023/) (Morales et al., CLPsych 2019)

An Investigation of Deep Learning Systems for Suicide Risk Assessment (Morales et al., CLPsych 2019)

ACL

Michelle Morales, Prajjalita Dey, Thomas Theisen, Danny Belitz, and Natalia Chernova. 2019. An Investigation of Deep Learning Systems for Suicide Risk Assessment. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pages 177–181, Minneapolis, Minnesota. Association for Computational Linguistics.