@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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<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.</abstract>
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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
Markdown (Informal)
[Semantic Characteristics of Schizophrenic Speech](https://aclanthology.org/W19-3010/) (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.