Abstract | ||
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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). |
Year | Venue | Field |
---|---|---|
2017 | arXiv: Artificial Intelligence | Data mining,Of the form,Tuple,Computer science,Graphical model,Relationship extraction |
DocType | Volume | Citations |
Journal | abs/1705.03751 | 0 |
PageRank | References | Authors |
0.34 | 14 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gagan Madan | 1 | 1 | 1.03 |