Textual entailment recognition plays a fundamental role in tasks that require indepth natural language understanding. In order to use entailment recognition technologies for real-...
As more and more information is available in the Electronic Health Record in the form of free-text narrative, there is a need for automated tools, which can process and understand...
We investigate the understanding of landmarks using a model of embedding procedures that sees affordances established on three levels. On the first level there are landmark experie...
While complete understanding of arbitrary input text remains in the future, it is currently possible to construct natural language processing systems that provide a partial unders...
Peggy M. Andersen, Philip J. Hayes, Steven P. Wein...
A key to improving at any task is frequent feedback from people whose opinions we care about: our family, friends, mentors, and the experts. However, such input is not usually ava...