This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
This project implements an integrated biological information website that classifies technical documents, learns about users' interests, and offers intuitive interactive visua...
Min Hong, Anis Kairmpour-fard, Steve Russell, Lawr...
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...
Lexicon development and Part of Speech (POS) tagging are very important for almost all Natural Language Processing(NLP) application areas. The rapid development of these resources...
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...