LEILA System
(Redirected from LEILA)
A LEILA System is an Eager Model-based Supervised Learning-based Dependency Grammar-based Relation Recognition Algorithm designed for Information Extraction Tasks that involve the extraction of Binary Relations.
- Context:
- Automated Text Annotation includes Named Entity Recognition, and Syntactic Parsing.
- It uses a Dependency Relation Recognition Classifier Predictive Model representation.
- It uses either kNN or SVM to generate Patterns.
- Example(s):
- http://tbd
- See: PPLRE LEILA.
References
2006
- (Suchanek et al., 2006) ⇒ Fabian M. Suchanek, Georgiana Ifrim, and Gerhard Weikum. (2006). “Combining Linguistic and Statistical Analysis to Extract Relations from Web Documents.” In: Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006). doi:10.1145/1150402.1150492