The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other u...
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
To reduce the production cost of 3D-CG educational contents for e-Learning system and to improve the capability of self-learning system, we developed a new self-learning system ba...
We describe a formal model for annotating linguistic artifacts, from which we derive an application programming interface (API) to a tools for manipulating these annotations. The ...
Steven Bird, David Day, John S. Garofolo, John Hen...