The automatic identification of a user's task has the potential to improve information filtering systems that rely on implicit measures of interest and whose effectiveness ma...
We show how hypertext-based program understanding tools eve new levels of abstraction by using inferred type information for cases where the subject software system is written in ...
—This paper presents a study on polyadenylation site prediction in mRNA sequences. We describe a method, called PolyA-EP, that we developed for predicting polyadenylation sites a...
The state-of-the-art in Named Entity Recognition relies on a combination of local features of the text and global knowledge to determine the types of the recognized entities. This...
In this paper, we propose a novel correlation based method for speech-video synchronization (synch) and relationship classification. The method uses the envelope of the speech sig...