Hidden markov models (HMMs) and prediction by partial matching models (PPM) have been successfully used in language processing tasks including learning-based token identification. ...
Problems stemming from domain adaptation continue to plague the statistical natural language processing community. There has been continuing work trying to find general purpose al...
Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications i...
We consider programs for embedded real-time systems which use priority-driven preemptive scheduling with task priorities adjusted dynamically according to the immediate ceiling pr...
Martin D. Schwarz, Helmut Seidl, Vesal Vojdani, Pe...
In previous work, action languages have predominantly been concerned with domains in which values are static unless changed by an action. Real domains, however, often contain value...
Sandeep Chintabathina, Michael Gelfond, Richard Wa...