Entity Mention Detection

In this paper, we describe an integrated approach to entity mention detection that yields a monolithic, almost language in- dependent system. It is optimal in the sense that all categorical …...

AbstractWe 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 large text corpus, as …...

Information-extraction (IE) research typically focuses on clean-text inputs. However, an IE engine serving real applications yields many false alarms due to less-well-formed input. For example, IE in a multilingual broadcast …...