Detecting causality from online psychiatric texts using inter-sentential language patterns
<p>Abstract</p> <p>Background</p> <p>Online psychiatric texts are natural language texts expressing depressive problems, published by Internet users via community-based web services such as web forums, message boards and blogs. Understanding the cause-effect relations e...
Main Authors: | Wu Jheng-Long, Yu Liang-Chih, Chang Pei-Chann |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2012-07-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://www.biomedcentral.com/1472-6947/12/72 |
Similar Items
-
Language Control and Intra-Sentential Codeswitching among Bilingual Children with and without Developmental Language Disorder
by: Aviva Soesman, et al.
Published: (2022-09-01) -
The effect of inhibitory control and language proficiency on intra-sentential switching costs in reading comprehension
by: Peijuan Wang, et al.
Published: (2023-11-01) -
An Effective Knowledgeable Label-Aware Approach for Sentential Relation Extraction
by: Binling Nie, et al.
Published: (2023-10-01) -
Ditransitive Verbs: An English Print Media based Comparison of Pakistani English and British English
by: Asadullah Balouch
Published: (2018-12-01) -
Ditransitive Verbs: An English Print Media based Comparison of Pakistani English and British English
by: Asadullah Baloch, et al.
Published: (2019-06-01)