Using semantic dependencies to mine depressive symptoms from consultation records

Chung Hsien Wu, Liang Chih Yu, Fong Lin Jang

研究成果: Review article同行評審

23 引文 斯高帕斯(Scopus)

摘要

A framework for mining depressive symptoms and their relations from consultation records is proposed. The records contain many kinds of depressive symptoms, such as depressed mood, suicide ideas, anxiety, and sleep disturbances. The depressive symptoms are embedded in a single sentence or a discourse segment. The mining task is to identify the discourse segments and their semantic relations. Mining depressive symptoms requires domain knowledge. A framework that integrates semantic-dependency, lexical-cohesion, and domain knowledge sources to mine depressive symptoms and their relations. A semantic dependency model captures the semantics dependency between each word token and its head in a sentence.

原文English
頁(從 - 到)50-58
頁數9
期刊IEEE Intelligent Systems
20
發行號6
DOIs
出版狀態Published - 2005 十一月

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 人工智慧

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