We describe a new algorithm for table-driven parsing with context-free grammars designed to support efficient syntactic analysis of natural language. The algorithm provides a gene...
Knowledge Acquisition through Semantic Annotation is vital to the evolution, growth and success of the Semantic Web. Both Semiautomatic and Manual Annotation are constricted by a ...
Brian Davis, Pradeep Varma, Siegfried Handschuh, L...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...