Detecting causality from online psychiatric texts using inter-sentential language patterns
نویسندگان
چکیده
منابع مشابه
Detecting causality from online psychiatric texts using inter-sentential language patterns
BACKGROUND 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 embedded in these psychiatric texts can provide insight into the authors' problems, thus increasing the effectiveness of online psychiatric services. ME...
متن کاملAuthor's response to reviews Title: Detecting Causality from Online Psychiatric Texts Using Inter-Sentential Language Patterns Authors:
1. The authors use the terms Inter-sentential language patters and provide examples such as -<>, and <>. How are these patterns different from word pairs?. The authors also describe that the ISL patters outperform the word patters, without providing examples on how each of these are different. The usage of terms in the abstract, without providing any supp...
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ژورنال
عنوان ژورنال: BMC Medical Informatics and Decision Making
سال: 2012
ISSN: 1472-6947
DOI: 10.1186/1472-6947-12-72