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Stanford Open Information Extraction (OpenIE)
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Open information extraction (open IE) refers to the extraction of relation tuples, typically binary relations, from plain text. The central difference is that the schema for these relations does not need to be specified in advance; typically the relation name is just the text linking two arguments. For example, Barack Obama was born in Hawaii would create a triple (Barack Obama; was born in; Hawaii), corresponding to the open domain relation was-born-in(Barack-Obama, Hawaii). This software is a Java implementation of an open IE system as described in the paper Gabor Angeli et al. (2015). |
nlp, machine learning |
Submitted by elementlist on Jan 11, 2017 |
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