Sciweavers

54 search results - page 4 / 11
» Supervised Models for Coreference Resolution
Sort
View
61
Voted
JAIR
2011
110views more  JAIR 2011»
14 years 4 months ago
Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference Resolution
Traditional learning-based coreference resolvers operate by training the mention-pair model for determining whether two mentions are coreferent or not. Though conceptually simple ...
Altaf Rahman, Vincent Ng
NAACL
2007
14 years 11 months ago
First-Order Probabilistic Models for Coreference Resolution
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Aron Culotta, Michael L. Wick, Andrew McCallum
COLING
2010
14 years 4 months ago
Maximum Metric Score Training for Coreference Resolution
A large body of prior research on coreference resolution recasts the problem as a two-class classification problem. However, standard supervised machine learning algorithms that m...
Shanheng Zhao, Hwee Tou Ng
EMNLP
2008
14 years 11 months ago
Understanding the Value of Features for Coreference Resolution
In recent years there has been substantial work on the important problem of coreference resolution, most of which has concentrated on the development of new models and algorithmic...
Eric Bengtson, Dan Roth
SDM
2009
SIAM
126views Data Mining» more  SDM 2009»
15 years 6 months ago
An Entity Based Model for Coreference Resolution.
Recently, many advanced machine learning approaches have been proposed for coreference resolution; however, all of the discriminatively-trained models reason over mentions rather ...
Michael L. Wick, Aron Culotta, Khashayar Rohaniman...