Detecting semantic uncertainty by learning hedge cues in sentences using an HMM

• Main Authors: LI, Xiujun, GAO, Wei, SHAVLIK, Jude
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Uncertainty detection; Hedge cues; Naive Bayes; HMM; Cross-domain training; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/4643; https://ink.library.smu.edu.sg/context/sis_research/article/5646/viewcontent/li.smir14.pdf
• Institution: Singapore Management University

Detecting speculative assertions is essential to distinguish semantically uncertain information from the factual ones in text. This is critical to the trustworthiness of many intelligent systems that are based on information retrieval and natural language processing techniques, such as question answ...