Abstract
This paper describes the systems we developed for tasks A and B of the 2018 CLPsych shared task. The first task (task A) focuses on predicting behavioral health scores at age 11 using childhood essays. The second task (task B) asks participants to predict future psychological distress at ages 23, 33, 42, and 50 using the age 11 essays. We propose two convolutional neural network based methods that map each task to a regression problem. Among seven teams we ranked third on task A with disattenuated Pearson correlation (DPC) score of 0.5587. Likewise, we ranked third on task B with an average DPC score of 0.3062.
Original language | English |
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Title of host publication | Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology |
Subtitle of host publication | From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 |
Editors | Kate Loveys, Kate Niederhoffer, Emily Prud�hommeaux, Rebecca Resnik, Philip Resnik |
Pages | 107-112 |
Number of pages | 6 |
ISBN (Electronic) | 9781948087124 |
State | Published - 2018 |
Event | 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 - New Orleans, United States Duration: Jun 5 2018 → … |
Publication series
Name | Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 |
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Conference
Conference | 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 |
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Country/Territory | United States |
City | New Orleans |
Period | 6/5/18 → … |
Bibliographical note
Publisher Copyright:© 2018 Association for Computational Linguistics
Funding
We thank anonymous reviewers for their constructive comments despite the short turnaround. This research is supported by the U.S. National Library of Medicine through grant R21LM012274. We also gratefully acknowledge the support of the NVIDIA Corporation for its donation of the Titan X Pascal GPU used for this research.
Funders | Funder number |
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U.S. National Library of Medicine | R21LM012274 |
Nvidia |
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language
- Computer Science Applications
- Artificial Intelligence