(Redirected from Long-Distance Dependency)
- AKA: Long-Range Dependency.
- See: Global Relationship, Global Feature, Context Predictor Feature.
- (Zelenko et al., 2003) ⇒ Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. (2003). “Kernel Methods for Relation Extraction.” In: Journal of Machine Learning Research, 3.
- QUOTE: HMMs are mostly appropriate for modeling local and flat problems. Relation extraction often involves modeling long range dependencies, for which HMM methodology is not directly applicable. Several probabilistic frameworks for modeling sequential data have recently been introduced to alleviate for HMM restrictions.