Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Radio Frequency IDentification (RFID) deployments are becoming increasingly popular in both industrial and consumer-oriented settings. To effectively exploit and operate such depl...
Evan Welbourne, Karl Koscher, Emad Soroush, Magdal...
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
We define a probabilistic morphological analyzer using a data-driven approach for Syriac in order to facilitate the creation of an annotated corpus. Syriac is an under-resourced S...
Peter McClanahan, George Busby, Robbie Haertel, Kr...