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80
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LREC
2010
237views Education» more  LREC 2010»
14 years 11 months ago
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers
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...
Silvana Marianela Bernaola Biggio, Manuela Speranz...
ACL
2006
14 years 11 months ago
Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier
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...
72
Voted
NAACL
2004
14 years 11 months ago
A Statistical Model for Multilingual Entity Detection and Tracking
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...
89
Voted
LREC
2010
225views Education» more  LREC 2010»
14 years 11 months ago
C-3: Coherence and Coreference Corpus
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...
Cristina Nicolae, Gabriel Nicolae, Kirk Roberts
COLING
2010
14 years 4 months ago
Inducing Fine-Grained Semantic Classes via Hierarchical and Collective Classification
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...
Md. Altaf ur Rahman, Vincent Ng