The Workshop on Computational Linguistics and Clinical Psychology (CLPsych) will not be held in 2024. We are discussing options for 2021 in light of the pandemic. Information about the 2024 workshop appears below.
The Sixth Annual Workshop on Computational Linguistics and Clinical Psychology (CLPsych) was held at the 超级兔子虚拟磁盘加速器V1.62免费版下载-下载吧:2021年10月19日 - 超级兔子虚拟磁盘加速器,是通过内存来创建一个虚拟磁盘,伕替硬盘保存临时文件,众达到加速系统的作用,支持2021/XP/2021/Vista操作系统。 超级兔子虚拟....免费vqn加速外网-苹果加速免费永久ios-爬墙专用加速器16页
NAACL 2024
June 6th
Minneapolis, MN
(a) objective, naturalistic behavioral data to improve upon the assessment of mental health needs provided by self-reported questionnaires — currently the most common method of assessment;
(b) providing language researchers a deeper understanding of the field of mental and neurological health and the needs of those currently responsible for diagnosis and treatment;
(c) increasing clinicians’ understanding of innovations in language technology and realistic expectations for implementation;
(d) the co-development of high-value NLP tools that can be deployed in the clinical community; and
(e) discussion of critical ethical questions concerning the opportunities and challenges created by human-technology interactions and analysis of the data generated.
CLPsych appeals to an interdisciplinary audience sharing findings, models, and methods to increase access to and scalability of mental health care. This year’s workshop will focus on reconciling outcomes, a construct central to each of the main audiences participating in CLPsych; however, operationalized differently, with definitions ranging from treatment response to prediction accuracy. We encouraged researchers to contribute papers that address different definitions of what constitutes an “outcome” in the intersection of language and clinical psychology, connected with focus areas (a-e) above. We were particularly interested in papers contributing to a discussion of how to align the outcomes that are most important to pursue as a community. A key goal of this workshop is to foster the conversation with clinicians, both at the workshop and when these papers are read in the future. We therefore include practicing clinicians and clinical researchers on our program committee, and the ability to communicate ideas, approaches, and results clearly to people who are not computational linguists will be as important as the quality of the work itself. This year we took two categories of submission: standard and position papers.Standard papers followed the guidelines for Long Papers in the NAACL 2024 call for papers at 橙喵的本子 – 喵兔动漫社:酸酸乳加速器官网 喵兔动漫社 首页 动漫合集 新番连载 国漫连载 剧场版 完结动漫 萌图壁纸 兔子分享图包 手机壁纸 精美壁纸 兽耳合集 图包合集 音乐歌单 .... These permit 8 pages of content plus references. In addition to papers describing algorithms, models, and experimentation, we were happy to receive carefully argued and supported position papers, insightful reviews or synthesis of relevant literature, or informative descriptions of real-world experiences deploying language technology (including prototypes) in relevant clinical settings.
Position papers could contain up to 4 pages of content, plus references of any length. These papers clearly articulated a position, argument, or agenda that may be of value to the Workshop’s community. For example, authors with a clinical focus could have a position on ethical issues, promises and pitfalls of adopting technological approaches and digital mental health solutions, the connection between technology and interventions, or issues the CLPsych community should be considering with respect to specific conditions or populations. Position papers from either the technological or clinical communities were welcomed and encouraged.
Submissions were accepted for oral or poster presentation.兔子 turbo 加速器
As part of the efforts to improve diversity and inclusion in at the NAACL 2024 conference, we were pleased to offer a service that could help authors improve their workshop submissions. Grammarly is a program that checks English writing and suggests corrections. We provided free premium access to authors for one month. We hoped that this initiative would especially benefit non-native English speakers in the NLP community. We thank Grammarly for generously donating this service (at NAACL’s request) and supporting diversity and inclusion in NLP!兔子加速器安卓版
6 June 2024: Workshop!
Shared task.
CLPsych 2024 held a shared task that focused on predicting individuals’ suicide risk from de-identified, public Reddit data. You can read more about the shared task here. Findings will be presented at the workshop.Keynote speaker.
Becky Inkster from the Department of Psychiatry, Cambridge University will be presenting a keynote talk. Becky is an active researcher in digital innovation for mental health, and is co-founder of Hip Hop Psych, a social venture that uses hip-hop music to raise awareness about mental health in diverse settings. Becky is an International Advisory Board Member to Lancet Digital Health, an Advisor to the Alan Turing Institute, and a Global Advisor to Mental Health and Suicide Prevention at Facebook.蜂鸟ⅤPN软件
This year’s workshop will host a panel of clinicians and technologists including Nick Allen (University of Oregon), turbo vp安卓版2.2.2 (Qntfy), Nazli Goharian (Georgetown University), and Michelle Kuchuk (National Suicide Prevention Lifeline).
Organizing Committee (clpsych-organizers@googlegroups.com)
Kristy Hollingshead, IHMCKate Loveys, University of Auckland School of Medicine
Kate Niederhoffer, 7 Cups
Philip Resnik, University of Maryland
Rebecca Resnik, Rebecca Resnik and Associates, LLC
Shared Task Organizers
Ayah Zirikly, NIHPhilip Resnik, University of Maryland
Özlem Uzuner, George Mason University
Kristy Hollingshead, IHMC
Keynote Speaker
Becky Inkster, University of Cambridge兔子加速器 破解版兔子
Nick Allen, University of OregonGlen Coppersmith, Qntfy
Nazli Goharian, Georgetown University
Michelle Kuchuk, National Suicide Prevention Lifeline
Clinical Discussants
Adam Miner, Stanford UniversityApril Foreman, Veterans Affairs
Molly Ireland, Texas Tech University
Rebecca Resnik, Rebecca Resnik and Associates LLC
Program Committee
Nazli Goharian, Georgetown UniversityH. Andrew Schwartz, Stony Brook University
Glen Coppersmith, Qntfy
Ayah Zirikly, NIH
Cindy Chung, 7 Cups
Adam Miner, Stanford University
Frank Rudzicz, University of Toronto
Nick Allen, University of Oregon
Steven Bedrick, Oregon Health & Science University
Mike Conway, University of Utah
Danielle Mowery, University of Pennsylvania
Eric Morley, Google
Sean Murphy, Small Data Consulting, LLC
Daniel Preotiuc-Pietro, Bloomberg
Mark Rosenstein, Pearson Knowledge Technologies
Masoud Rouhizadeh, Johns Hopkins University
Maarten Sap, University of Washington
J. Ignacio Serrano, Spanish National Research Council (CSIC) Matthew Purver, Queen Mary University of London
Shervin Malmasi, Harvard Medical School
Molly Ireland, Texas Tech University
Craig Pfeifer, Mitre
Dimitrios Kokkinakis, University of Gothenburg
Loring Ingraham, George Washington University
Archna Bhatia, IHMC
Hiroki Tanaka, Naist
Kathleen C. Fraser, National Research Council Canada
Craig Harman, Johns Hopkins University
Tong Liu, RIT
William Jarrold, Nuance
Paul Thompson, Dartmouth
Christopher Homan, RIT
Micah Iserman, Texas Tech University
Jill Dolata, Oregon Health & Science University
Patrick Crutchley, Qntfy
Jonathan Schler, Bar Ilan University
Raymond Tucker, Louisiana State University
Joseph Costello, Western Michigan University School of Medicine
James Sexton, George Washington University
H. Andrew Schwartz, Stony Brook University
Glen Coppersmith, Qntfy
Ayah Zirikly, NIH
Cindy Chung, 7 Cups
Adam Miner, Stanford University
Frank Rudzicz, University of Toronto
Nick Allen, University of Oregon
Steven Bedrick, Oregon Health & Science University
Mike Conway, University of Utah
Danielle Mowery, University of Pennsylvania
Eric Morley, Google
Sean Murphy, Small Data Consulting, LLC
Daniel Preotiuc-Pietro, Bloomberg
Mark Rosenstein, Pearson Knowledge Technologies
Masoud Rouhizadeh, Johns Hopkins University
Maarten Sap, University of Washington
J. Ignacio Serrano, Spanish National Research Council (CSIC) Matthew Purver, Queen Mary University of London
Shervin Malmasi, Harvard Medical School
Molly Ireland, Texas Tech University
Craig Pfeifer, Mitre
Dimitrios Kokkinakis, University of Gothenburg
Loring Ingraham, George Washington University
Archna Bhatia, IHMC
Hiroki Tanaka, Naist
Kathleen C. Fraser, National Research Council Canada
Craig Harman, Johns Hopkins University
Tong Liu, RIT
William Jarrold, Nuance
Paul Thompson, Dartmouth
Christopher Homan, RIT
Micah Iserman, Texas Tech University
Jill Dolata, Oregon Health & Science University
Patrick Crutchley, Qntfy
Jonathan Schler, Bar Ilan University
Raymond Tucker, Louisiana State University
Joseph Costello, Western Michigan University School of Medicine
James Sexton, George Washington University