This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This ...
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
A digital video library of over 900 hours of video and 18000 stories from The HistoryMakers was used by 266 students, faculty, librarians, and life-long learners interacting with ...
Michael G. Christel, Scott M. Stevens, Bryan Maher...
Recently, there has been a growth in the amount of machine readable information pertaining to the biomedical field. With this growth comes a desire to be able to extract informati...
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...