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Title:Mining causal knowledge from autism newspapers
Author(s):Zhai, Yujia; Sun, ShaoJin; Ding,Ying
Subject(s):Causal knowledge
Autism newspapers
Open information extraction
Abstract:Autism is a lifelong developmental disability that affects how people perceive the world and interact with others. It has received enormous attention from both the academia and media. The causes of autism carried by the news media have an even bigger impact on the people’s opinion about autistic people and various treatments. In this research, we use machine reading technique to automatically extract causal relationships from autism news. We reveal the major diseases, causes and symptoms related with autism. We find that vaccine, gene and parenting are the main causes reported in the history of autism news. We also demonstrate the coverage of the causal relationships across time which shows gene has become the most important cause of autism surpass vaccine.
Issue Date:2017
Citation Info:Zhai, Y., Sun, S., & Ding, Y. (2017). Mining Causal Knowledge from Autism Newspapers. In iConference 2017 Proceedings (p. 631-635).
Series/Report:iConference 2017 Proceedings
Genre:Conference Poster
Rights Information:Copyright 2017 Yujia Zhai, ShaoJin Sun, and Ying Ding
Date Available in IDEALS:2017-07-27

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