LEILA System

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.

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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

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