An attention-based neural framework for uncertainty identification on social media texts
Tsinghua Science and Technology(2020)
摘要
Uncertainty identification is an important semantic processing task. It is crucial to the quality of information in terms of factuality in many applications, such as topic detection and question answering. Factuality has become a premier concern especially in social media, in which texts are written informally. However, existing approaches that rely on lexical cues suffer greatly from the casual o...
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关键词
Uncertainty,Social networking (online),Semantics,Task analysis,Feature extraction,Logic gates,Biology
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