Open AccessProceedings Article
Automatic Knowledge Base Construction using Probabilistic Extraction, Deductive Reasoning, and Human Feedback
Daisy Zhe Wang,Yang Chen,Sean Goldberg,Christan Grant,Kun Li +4 more
- 07 Jun 2012
- pp 106-110
TL;DR: An automatic knowledge base construction system consisting of three inter-related components that MADden is a knowledge extraction system applying statistical text analysis methods over database systems and massive parallel processing frameworks, ProbKB performs probabilistic reasoning over the extracted knowledge to derive additional facts not existing in the original text corpus.
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Abstract: We envision an automatic knowledge base construction system consisting of three inter-related components. MADden is a knowledge extraction system applying statistical text analysis methods over database systems (DBMS) and massive parallel processing (MPP) frameworks; ProbKB performs probabilistic reasoning over the extracted knowledge to derive additional facts not existing in the original text corpus; CAMeL leverages human intelligence to reduce the uncertainty resulting from both the information extraction and probabilistic reasoning processes.
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