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» The ConceptMapper Approach to Named Entity Recognition
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AIRS
2010
Springer
14 years 7 months ago
Event Recognition from News Webpages through Latent Ingredients Extraction
We investigate the novel problem of event recognition from news webpages. "Events" are basic text units containing news elements. We observe that a news article is always...
Rui Yan, Yu Li, Yan Zhang, Xiaoming Li
BMCBI
2006
154views more  BMCBI 2006»
14 years 9 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. ...
BMCBI
2008
173views more  BMCBI 2008»
14 years 9 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
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ICML
2004
IEEE
15 years 10 months ago
Gaussian process classification for segmenting and annotating sequences
Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labe...
Yasemin Altun, Thomas Hofmann, Alex J. Smola
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