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CLPsych@NAACL-HLT 2018: New Orleans, LA, USA
- Kate Loveys, Kate Niederhoffer, Emily Prud'hommeaux, Rebecca Resnik, Philip Resnik:
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych@NAACL-HTL, New Orleans, LA, USA, June 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-12-4 - Alina Arseniev-Koehler, Sharon Mozgai, Stefan Scherer:
What type of happiness are you looking for? - A closer look at detecting mental health from language. 1-12 - Michelle Renee Morales, Stefan Scherer, Rivka Levitan:
A Linguistically-Informed Fusion Approach for Multimodal Depression Detection. 13-24 - Han-Chin Shing, Suraj Nair, Ayah Zirikly, Meir Friedenberg, Hal Daumé III, Philip Resnik:
Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings. 25-36 - Veronica E. Lynn, Alissa Goodman, Kate Niederhoffer, Kate Loveys, Philip Resnik, H. Andrew Schwartz:
CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays. 37-46 - Micah Iserman, Molly Ireland, Andrew Littlefield, Tyler Davis, Sage Maliepaard:
An Approach to the CLPsych 2018 Shared Task Using Top-Down Text Representation and Simple Bottom-Up Model Selection. 47-56 - Edgar Altszyler, Ariel J. Berenstein, David N. Milne, Rafael A. Calvo, Diego Fernández Slezak:
Using contextual information for automatic triage of posts in a peer-support forum. 57-68 - Julia Ive, George Gkotsis, Rina Dutta, Robert Stewart, Sumithra Velupillai:
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health. 69-77 - Kate Loveys, Jonathan Torrez, Alex Fine, Glen Moriarty, Glen Coppersmith:
Cross-cultural differences in language markers of depression online. 78-87 - Ahmed Husseini Orabi, Prasadith Buddhitha, Mahmoud Husseini Orabi, Diana Inkpen:
Deep Learning for Depression Detection of Twitter Users. 88-97 - Sharath Chandra Guntuku, Salvatore Giorgi, Lyle H. Ungar:
Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task. 98-106 - Anthony Rios, Tung Tran, Ramakanth Kavuluru:
Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP). 107-112 - Almog Simchon, Michael Gilead:
A Psychologically Informed Approach to CLPsych Shared Task 2018. 113-118 - Klim Zaporojets, Lucas Sterckx, Johannes Deleu, Thomas Demeester, Chris Develder:
Predicting Psychological Health from Childhood Essays. The UGent-IDLab CLPsych 2018 Shared Task System. 119-125 - Kylie Radford, Louise Lavrencic, Ruth Peters, Kim Kiely, Ben Hachey, Scott Nowson, Will Radford:
Can adult mental health be predicted by childhood future-self narratives? Insights from the CLPsych 2018 Shared Task. 126-135 - Dan Iter, Jong Yoon, Dan Jurafsky:
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia. 136-146 - Julia Parish-Morris, Evangelos Sariyanidi, Casey Zampella, G. Keith Bartley, Emily Ferguson, Ashley A. Pallathra, Leila Bateman, Samantha Plate, Meredith Cola, Juhi Pandey, Edward S. Brodkin, Robert T. Schultz, Birkan Tunç:
Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder. 147-157 - Tatiana Litvinova, Olga Litvinova, Pavel Seredin:
Dynamics of an idiostyle of a Russian suicidal blogger. 158-167 - Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. 168-173 - Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz:
Predicting Human Trustfulness from Facebook Language. 174-181 - Molly Ireland, Micah Iserman:
Within and Between-Person Differences in Language Used Across Anxiety Support and Neutral Reddit Communities. 182-193 - Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, Nazli Goharian:
Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions. 194-203
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