Semantic Characteristics of Schizophrenic Speech

Kfir Bar; Vered Zilberstein; Ido Ziv; Heli Baram; Nachum Dershowitz; Samuel Itzikowitz; Eiran Vadim Harel

doi:10.18653/v1/W19-3010

Semantic Characteristics of Schizophrenic Speech

Kfir Bar, Vered Zilberstein, Ido Ziv, Heli Baram, Nachum Dershowitz, Samuel Itzikowitz, Eiran Vadim Harel

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Abstract

Natural language processing tools are used to automatically detect disturbances in transcribed speech of schizophrenia inpatients who speak Hebrew. We measure topic mutation over time and show that controls maintain more cohesive speech than inpatients. We also examine differences in how inpatients and controls use adjectives and adverbs to describe content words and show that the ones used by controls are more common than the those of inpatients. We provide experimental results and show their potential for automatically detecting schizophrenia in patients by means only of their speech patterns.

Anthology ID:: W19-3010
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:: 84–93
Language:
URL:: https://aclanthology.org/W19-3010/
DOI:: 10.18653/v1/W19-3010
Bibkey:
Cite (ACL):: Kfir Bar, Vered Zilberstein, Ido Ziv, Heli Baram, Nachum Dershowitz, Samuel Itzikowitz, and Eiran Vadim Harel. 2019. Semantic Characteristics of Schizophrenic Speech. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pages 84–93, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):: Semantic Characteristics of Schizophrenic Speech (Bar et al., CLPsych 2019)
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PDF:: https://aclanthology.org/W19-3010.pdf

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@inproceedings{bar-etal-2019-semantic,
    title = "Semantic Characteristics of Schizophrenic Speech",
    author = "Bar, Kfir  and
      Zilberstein, Vered  and
      Ziv, Ido  and
      Baram, Heli  and
      Dershowitz, Nachum  and
      Itzikowitz, Samuel  and
      Vadim Harel, Eiran",
    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/W19-3010/",
    doi = "10.18653/v1/W19-3010",
    pages = "84--93",
    abstract = "Natural language processing tools are used to automatically detect disturbances in transcribed speech of schizophrenia inpatients who speak Hebrew. We measure topic mutation over time and show that controls maintain more cohesive speech than inpatients. We also examine differences in how inpatients and controls use adjectives and adverbs to describe content words and show that the ones used by controls are more common than the those of inpatients. We provide experimental results and show their potential for automatically detecting schizophrenia in patients by means only of their speech patterns."
}

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%0 Conference Proceedings
%T Semantic Characteristics of Schizophrenic Speech
%A Bar, Kfir
%A Zilberstein, Vered
%A Ziv, Ido
%A Baram, Heli
%A Dershowitz, Nachum
%A Itzikowitz, Samuel
%A Vadim Harel, Eiran
%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 bar-etal-2019-semantic
%X Natural language processing tools are used to automatically detect disturbances in transcribed speech of schizophrenia inpatients who speak Hebrew. We measure topic mutation over time and show that controls maintain more cohesive speech than inpatients. We also examine differences in how inpatients and controls use adjectives and adverbs to describe content words and show that the ones used by controls are more common than the those of inpatients. We provide experimental results and show their potential for automatically detecting schizophrenia in patients by means only of their speech patterns.
%R 10.18653/v1/W19-3010
%U https://aclanthology.org/W19-3010/
%U https://doi.org/10.18653/v1/W19-3010
%P 84-93

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Markdown (Informal)

[Semantic Characteristics of Schizophrenic Speech](https://aclanthology.org/W19-3010/) (Bar et al., CLPsych 2019)

Semantic Characteristics of Schizophrenic Speech (Bar et al., CLPsych 2019)

ACL

Kfir Bar, Vered Zilberstein, Ido Ziv, Heli Baram, Nachum Dershowitz, Samuel Itzikowitz, and Eiran Vadim Harel. 2019. Semantic Characteristics of Schizophrenic Speech. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pages 84–93, Minneapolis, Minnesota. Association for Computational Linguistics.