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A Survey of Distant Supervision Methods using PGMs

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arxiv 1705.03751 v1 pith:AFVVQP5S submitted 2017-05-10 cs.AI cs.CL

A Survey of Distant Supervision Methods using PGMs

classification cs.AI cs.CL
keywords distantsupervisionpgmsrelationsurveyautomaticallydatabaseentities
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Relation Extraction refers to the task of populating a database with tuples of the form $r(e_1, e_2)$, where $r$ is a relation and $e_1$, $e_2$ are entities. Distant supervision is one such technique which tries to automatically generate training examples based on an existing KB such as Freebase. This paper is a survey of some of the techniques in distant supervision which primarily rely on Probabilistic Graphical Models (PGMs).

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