@inproceedings{ff1f20b3389c418baac15756d60822f3,
title = "Masking Morphosyntactic Categories to Evaluate Salience for Schizophrenia Diagnosis",
abstract = "Natural language processing tools have been shown to be effective for detecting symptoms of schizophrenia in transcribed speech. We analyze and assess the contribution of the various syntactic and morphological categories towards successful machine classification of texts produced by subjects with schizophrenia and by others. Specifically, we fine-tune a language model for the classification task, and mask all words that are attributed with each category of interest. The speech samples were generated in a controlled way by interviewing inpatients who were officially diagnosed with schizophrenia, and a corresponding group of healthy controls. All participants are native Hebrew speakers. Our results show that nouns are the most significant category for classification performance.",
author = "Yaara Shriki and Ido Ziv and Nachum Dershowitz and Harel, {Eiran Vadim} and Kfir Bar",
note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; null ; Conference date: 15-07-2022",
year = "2022",
language = "אנגלית",
series = "CLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "148--157",
editor = "Ayah Zirikly and Dana Atzil-Slonim and Maria Liakata and Steven Bedrick and Bart Desmet and Molly Ireland and Andrew Lee and Sean MacAvaney and Matthew Purver and Rebecca Resnik and Andrew Yates",
booktitle = "CLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology, Proceedings",
address = "ארצות הברית",
}