Statistical Relational Learning for Natural Language Information Extraction
Răzvan Bunescu, Raymond J. Mooney · The MIT Press eBooks · 2007
Understanding natural language presents many challenging problems that lend themselves to statistical relational learning (SRL). Historically, both logical and probabilistic methods have found wide application in natural language processing (NLP). NLP inevitably involves reasoning about an arbitrary number of entities