Self-Supervised Learning Algorithm
- See: Self-Supervised Learning System, Weakly Labeled Dataset.
- (Banko & Etzioni, 2008) ⇒ Michele Banko, and Oren Etzioni. (2008). “The Tradeoffs Between Open and Traditional Relation Extraction.” In: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL 2008).
- QUOTE: As with O-NB, O-CRF’s training process is self-supervised. O-CRF applies a handful of relation-independent heuristics to the PennTreebank and obtains a set of labeled examples in the form of relational tuples. The heuristics were designed to capture dependencies typically obtained via syntactic parsing and semantic role labelling.
- (Mitchell, 2006) ⇒ Tom M. Mitchell. (2006). “The Discipline of Machine Learning." Machine Learning Department technical report CMU-ML-06-108, Carnegie Mellon University.