We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Most approaches to event extraction focus on mentions anchored in verbs. However, many mentions of events surface as noun phrases. Detecting them can increase the recall of event ...
Cassandre Creswell, Matthew J. Beal, John Chen, Th...
Entity detection and tracking is a relatively new addition to the repertoire of natural language tasks. In this paper, we present a statistical language-independent framework for ...
Radu Florian, Hany Hassan, Abraham Ittycheriah, Ho...
The phenomenon of coreference, covering entities, their mentions and their properties, is intricately linked to the phenomenon of coherence, covering the structure of rhetorical r...
Research in named entity recognition and mention detection has typically involved a fairly small number of semantic classes, which may not be adequate if semantic class informatio...