| { |
| "paper_id": "W16-0300", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T03:53:24.844527Z" |
| }, |
| "title": "Clinical Discussants", |
| "authors": [ |
| { |
| "first": "Kristy", |
| "middle": [], |
| "last": "Hollingshead", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Loring", |
| "middle": [ |
| "J" |
| ], |
| "last": "Ingraham", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Steven", |
| "middle": [], |
| "last": "Bedrick", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Wilma", |
| "middle": [], |
| "last": "Bucci", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Peter", |
| "middle": [], |
| "last": "Foltz", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Dan", |
| "middle": [], |
| "last": "Pearson", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Goldwasser", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Christopher", |
| "middle": [], |
| "last": "Homan", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Tong", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Margaret", |
| "middle": [], |
| "last": "Mitchell", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Sean", |
| "middle": [], |
| "last": "Murphy", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "John", |
| "middle": [], |
| "last": "Jay", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| } |
| ], |
| "year": "", |
| "venue": null, |
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| "abstract": "", |
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| "paper_id": "W16-0300", |
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| "abstract": [], |
| "body_text": [ |
| { |
| "text": "In the United States, mental and neurological health problems are among the costliest challenges we face. Depression, Alzheimer's disease, bipolar disorder, and attention deficit hyperactivity disorder (ADHD) are only a handful of the many illnesses that contribute to this cost. The global cost of mental health conditions alone was estimated at $2.5 trillion in 2010, with a projected increase to over $6 trillion in 2030. Neurological illnesses and mental disorders cost the U.S. more than $760 billion a year. The World Health Organization (WHO) estimates one out of four people worldwide will suffer from a mental illness at some point in their lives, while one in five Americans experience a mental health problem in any given year. Mental, neurological, and substance use disorders are the leading cause of disability worldwide, yet most public service announcements and government education programs remain focused on physical health issues such as cancer and obesity. Despite the substantial and rising burden of such disorders, there is a significant shortage of resources available to prevent, diagnose, and treat them; thus technology must be brought to bear.", |
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| "eq_spans": [], |
| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "For clinical psychologists, language plays a central role in diagnosis, and many clinical instruments fundamentally rely on manual coding of patient language. Applying language technology in the domain of mental and neurological health could lead to inexpensive screening measures that may be administered by a wider array of healthcare professionals. Researchers had begun targeting such issues prior to this workshop series, using language technology to identify emotion in suicide notes, analyze the language of those with autistic spectrum disorders, and aid the diagnosis of dementia.", |
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| "eq_spans": [], |
| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "The series of Computational Linguistics and Clinical Psychology (CLPsych) workshops began at ACL 2014, while NAACL 2015 hosted the second such workshop with a near-doubling in attendance. The 2015 workshop additionally hosted a Shared Task for detecting depression and post-traumatic stress disorder (PTSD) based on social media posts. The CLPsych workshops diverge from the conventional \"mini-conference\" workshop format by inviting clinical psychologists and researchers to join us at the workshop as discussants, to provide real-world points of view on the potential applications of NLP technologies presented during the workshop. We hope to build the momentum towards releasing tools and data that can be used by clinical psychologists.", |
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| "section": "Introduction", |
| "sec_num": null |
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| { |
| "text": "NAACL 2016 hosts the third CLPsych workshop, with another shared task. Published papers in this proceedings propose methods for aiding the diagnosis of dementia, analyzing sentiment as related to psychotherapy, assessing suicide risk, and quantifying the language of mental health. The 2016 CLPsych Shared Task centered on the classification of posts from a mental health forum to assist forum moderators in triaging and escalating posts requiring immediate attention. We accepted 11 submissions for the main workshop and 16 for the shared task. Each oral presentation will be followed by discussions led by one of our discussants, subject matter experts working in the fields of behavioral and mental health and with clinical data, including: Dr. Loring Ingraham and Dr. Bart Andrews.", |
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| "section": "Introduction", |
| "sec_num": null |
| }, |
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| "text": "We wish to thank everyone who showed interest and submitted a paper, all of the authors for their contributions, the members of the Program Committee for their thoughtful reviews, our clinical discussants for their helpful insights, and all the attendees of the workshop. We also wish to extend thanks to the Association for Computational Linguistics for making this workshop possible, and to Microsoft Research for its very generous sponsorship. ", |
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| "section": "Introduction", |
| "sec_num": null |
| } |
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| "text": "Detecting late-life depression in Alzheimer's disease through analysis of speech and language Kathleen C. Fraser, Frank Rudzicz and Graeme Hirst . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data Joseph Bullard, Cecilia Ovesdotter Alm, Xumin Liu, Qi Yu and Rub\u00e9n Proa\u00f1o . . . . . . . . . . . . . . . 12 Self-Reflective Sentiment Analysis Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson and Parisa", |
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