A central problem in historical linguistics is the identification of historically related cognate words. We present a generative phylogenetic model for automatically inducing cogn...
ASEME is an emerging Agent Oriented Software Engineering (AOSE) methodology. The Model-Driven Engineering (MDE) paradigm encourages software modelers to automate the transition of...
We are interested in developing tools to support the activities of lawyers in corporate litigation. In current applications, information such as characters that have played a signi...
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...