In this paper, we present an unsupervised hybrid model which combines statistical, lexical, linguistic, contextual, and temporal features in a generic EMbased framework to harvest...
Abstract. Software architecture constitutes a promising approach to the development of large-scale distributed systems, but architecture description languages (ADLs) and their asso...
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
Abstract. Model-driven software development often involves several related models. When models are updated, the updates need to be propagated across all models to make them consist...
Chinese NE (Named Entity) recognition is a difficult problem because of the uncertainty in word segmentation and flexibility in language structure. This paper proposes the use of ...