There exists strong word association in natural language. Based on mutual information, this paper proposes a new MI-Trigger-based modeling approach to capture the preferred relati...
Conceptual modeling, deciding what to include in the model, is a very important task in the modeling process. However, it has so far received relatively little attention in the li...
Ontologies allow researchers, domain experts, and software agents to share a common understanding of the concepts and relationships of a domain. The past few years have seen the p...
Gregory A. Silver, Osama Al-Haj Hassan, John A. Mi...
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
This paper describes an extremely lexicalized probabilistic model for fast and accurate HPSG parsing. In this model, the probabilities of parse trees are defined with only the pro...