The lexicons for Knowledge-Based Machine Translation systems require knowledge intensive morphological, syntactic and semantic information. This information is often used in diffe...
We introduce a methodology for automating the maintenance of domain-specific taxonomies based on natural language text understanding. A given ontology is incrementally updated as ...
Semantic web ontology languages, such as OWL, have been widely used for knowledge representation. Through empirical analysis of real-world ontologies we discover that, like many n...
Since Chase and Simon presented their influential paper on perception in chess in 1973, the use of chunks has become the subject of a number of studies into the cognitive behavior ...
The availability of large on-line text corpora provides a natural and promising bridge between the worlds of natural language processing (NLP) and machine learning (ML). In recent...