In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of ...
Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. ...
—In a sensor network, data routing is tightly coupled to the needs of a sensing task, and hence the application semantics. This paper introduces the novel idea of information-dir...
Recent research has made it possible to build information agents that retrieve and integrate information from the World Wide Web. Although there now exist solutions for modeling W...
Greg Barish, Dan DiPasquo, Craig A. Knoblock, Stev...
The generation of hypermedia (or Web-based) presentations plays an important role in information management on the World Wide Web. In applications for Web modeling and querying, in...