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ACL
2012
11 years 7 months ago
A Probabilistic Model for Canonicalizing Named Entity Mentions
We present a statistical model for canonicalizing named entity mentions into a table whose rows represent entities and whose columns are attributes (or parts of attributes). The m...
Dani Yogatama, Yanchuan Sim, Noah A. Smith
SDM
2009
SIAM
126views Data Mining» more  SDM 2009»
14 years 2 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...
BMCBI
2006
154views more  BMCBI 2006»
13 years 5 months ago
Automated recognition of malignancy mentions in biomedical literature
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of ...
Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. ...
INLG
2010
Springer
13 years 2 months ago
Named Entity Generation Using Sampling-based Structured Prediction
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
Guillaume Bouchard
BMCBI
2008
111views more  BMCBI 2008»
13 years 5 months ago
Distinguishing the species of biomedical named entities for term identification
Background: Term identification is the task of grounding ambiguous mentions of biomedical named entities in text to unique database identifiers. Previous work on term identificati...
Xinglong Wang, Michael Matthews