Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology最新文献

Detecting Suicidality with a Contextual Graph Neural Network 基于上下文图神经网络的自杀行为检测

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.10

Daeun Lee, Migyeong Kang, Minji Kim, Jinyoung Han

引用次数: 4

Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks 通过临床基础辅助任务解释心理健康模型

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.3

Ayah Zirikly, Mark Dredze

引用次数: 7

Identifying stable speech-language markers of autism in children: Preliminary evidence from a longitudinal telephony-based study 确定儿童自闭症的稳定言语语言标记:来自纵向电话研究的初步证据

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.4

Sunghye Cho, Riccardo Fusaroli, Maggie Rose Pelella, K. Tena, Azia Knox, Aili Hauptmann, Maxine Covello, A. Russell, Judith S Miller, Alison Hulink, Jennifer Uzokwe, Kevin Walker, James Fiumara, J. Pandey, Christopher H. Chatham, C. Cieri, R. Schultz, M. Liberman, J. Parish-Morris

引用次数: 2

Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task 近似最近邻提取技术和神经网络在CLPsych 2022共享任务中的自杀风险预测

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.17

Hermenegildo Fabregat Marcos, Ander Cejudo, Juan Martínez-Romo, Alicia Pérez, Lourdes Araujo, Nuria Lebea, M. Oronoz, Arantza Casillas

引用次数: 3

Nonsuicidal Self-Injury and Substance Use Disorders: A Shared Language of Addiction 非自杀性自我伤害和物质使用障碍:成瘾的共同语言

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.15

Salvatore Giorgi, McKenzie Himelein-Wachowiak, Dan J. Habib, Pallavi V. Kulkarni, Brenda L. Curtis

{"title":"Nonsuicidal Self-Injury and Substance Use Disorders: A Shared Language of Addiction","authors":"Salvatore Giorgi, McKenzie Himelein-Wachowiak, Dan J. Habib, Pallavi V. Kulkarni, Brenda L. Curtis","doi":"10.18653/v1/2022.clpsych-1.15","DOIUrl":"https://doi.org/10.18653/v1/2022.clpsych-1.15","url":null,"abstract":"Nonsuicidal self-injury (NSSI), or the deliberate injuring of one?s body without intending to die, has been shown to exhibit many similarities to substance use disorders (SUDs), including population-level characteristics, impulsivity traits, and comorbidity with other mental disorders. Research has further shown that people who self-injure adopt language common in SUD recovery communities (e.g., “clean”, “relapse”, “addiction,” and celebratory language about sobriety milestones). In this study, we investigate the shared language of NSSI and SUD by comparing discussions on public Reddit forums related to self-injury and drug addiction. To this end, we build a set of LDA topics across both NSSI and SUD Reddit users and show that shared language across the two domains includes SUD recovery language in addition to other themes common to support forums (e.g., requests for help and gratitude). Next, we examine Reddit-wide posting activity and note that users posting in {emph{r/selfharm} also post in many mental health-related subreddits, while users of drug addiction related subreddits do not, despite high comorbidity between NSSI and SUDs. These results show that while people who self-injure may contextualize their disorder as an addiction, their posting habits demonstrate comorbidities with other mental disorders more so than their counterparts in recovery from SUDs. These observations have clinical implications for people who self-injure and seek support by sharing their experiences online.","PeriodicalId":107109,"journal":{"name":"Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134494218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

WWBP-SQT-lite: Multi-level Models and Difference Embeddings for Moments of Change Identification in Mental Health Forums WWBP-SQT-lite:心理健康论坛中变化时刻识别的多层次模型和差异嵌入

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.25

Adithya V Ganesan, Vasudha Varadarajan, Juhi Mittal, Shashanka Subrahmanya, Matthew Matero, Nikita Soni, Sharath Chandra Guntuku, J. Eichstaedt, H. A. Schwartz

{"title":"WWBP-SQT-lite: Multi-level Models and Difference Embeddings for Moments of Change Identification in Mental Health Forums","authors":"Adithya V Ganesan, Vasudha Varadarajan, Juhi Mittal, Shashanka Subrahmanya, Matthew Matero, Nikita Soni, Sharath Chandra Guntuku, J. Eichstaedt, H. A. Schwartz","doi":"10.18653/v1/2022.clpsych-1.25","DOIUrl":"https://doi.org/10.18653/v1/2022.clpsych-1.25","url":null,"abstract":"Psychological states unfold dynamically; to understand and measure mental health at scale we need to detect and measure these changes from sequences of online posts. We evaluate two approaches to capturing psychological changes in text: the first relies on computing the difference between the embedding of a message with the one that precedes it, the second relies on a “human-aware” multi-level recurrent transformer (HaRT). The mood changes of timeline posts of users were annotated into three classes, ‘ordinary,’ ‘switching’ (positive to negative or vice versa) and ‘escalations’ (increasing in intensity). For classifying these mood changes, the difference-between-embeddings technique – applied to RoBERTa embeddings – showed the highest overall F1 score (0.61) across the three different classes on the test set. The technique particularly outperformed the HaRT transformer (and other baselines) in the detection of switches (F1 = .33) and escalations (F1 = .61).Consistent with the literature, the language use patterns associated with mental-health related constructs in prior work (including depression, stress, anger and anxiety) predicted both mood switches and escalations.","PeriodicalId":107109,"journal":{"name":"Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123945656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Identifying Distorted Thinking in Patient-Therapist Text Message Exchanges by Leveraging Dynamic Multi-Turn Context 利用动态多回合语境识别患者-治疗师短信交流中的扭曲思维

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.11

K. Lybarger, J. Tauscher, Xiruo Ding, Dror Ben-Zeev, T. Cohen

{"title":"Identifying Distorted Thinking in Patient-Therapist Text Message Exchanges by Leveraging Dynamic Multi-Turn Context","authors":"K. Lybarger, J. Tauscher, Xiruo Ding, Dror Ben-Zeev, T. Cohen","doi":"10.18653/v1/2022.clpsych-1.11","DOIUrl":"https://doi.org/10.18653/v1/2022.clpsych-1.11","url":null,"abstract":"There is growing evidence that mobile text message exchanges between patients and therapists can augment traditional cognitive behavioral therapy. The automatic characterization of patient thinking patterns in this asynchronous text communication may guide treatment and assist in therapist training. In this work, we automatically identify distorted thinking in text-based patient-therapist exchanges, investigating the role of conversation history (context) in distortion prediction. We identify six unique types of cognitive distortions and utilize BERT-based architectures to represent text messages within the context of the conversation. We propose two approaches for leveraging dynamic conversation context in model training. By representing the text messages within the context of the broader patient-therapist conversation, the models better emulate the therapist’s task of recognizing distorted thoughts. This multi-turn classification approach also leverages the clustering of distorted thinking in the conversation timeline. We demonstrate that including conversation context, including the proposed dynamic context methods, improves distortion prediction performance. The proposed architectures and conversation encoding approaches achieve performance comparable to inter-rater agreement. The presence of any distorted thinking is identified with relatively high performance at 0.73 F1, significantly outperforming the best context-agnostic models (0.68 F1).","PeriodicalId":107109,"journal":{"name":"Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129764139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Masking Morphosyntactic Categories to Evaluate Salience for Schizophrenia Diagnosis 掩盖形态句法分类评估精神分裂症诊断的显著性

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.13

Yaara Shriki, Ido Ziv, N. Dershowitz, E. Harel, Kfir Bar

引用次数: 0

Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task Learning 使用多任务学习检测纵向用户文本中的变化时刻和自杀风险

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.19

T. Azim, Loitongbam Gyanendro Singh, Stuart Middleton

引用次数: 3

The ethical role of computational linguistics in digital psychological formulation and suicide prevention. 计算语言学在数字心理表述和自杀预防中的伦理作用。

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.clpsych-1.2

Martin Orr, K. van Kessel, David Parry

引用次数: 0