Abstract
This paper describes various systems from the University of Minnesota, Duluth that participated in the CLPsych 2015 shared task. These systems learned decision lists based on lexical features found in training data. These systems typically had average precision in the range of .70 – .76, whereas a random baseline attained .47 – .49.
Original language | English (US) |
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Title of host publication | 2nd Computational Linguistics and Clinical Psychology |
Subtitle of host publication | From Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 46-53 |
Number of pages | 8 |
ISBN (Electronic) | 9781941643433 |
DOIs | |
State | Published - 2015 |
Event | 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Denver, United States Duration: Jun 5 2015 → … |
Publication series
Name | 2nd Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop |
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Conference
Conference | 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 |
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Country/Territory | United States |
City | Denver |
Period | 6/5/15 → … |
Bibliographical note
Publisher Copyright:© 2015 Association for Computational Linguistics