Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry

Klinger R (2011)
Dortmund, Germany: TU Dortmund University of Technology, Computer Science.

Dissertation | Englisch
 
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Autor*in
Klinger, RomanUniBi
Einrichtung
Research Institute for Cognition and Robotics
Technische Fakultät > AG Semantische Datenbanken
Center of Excellence - Cognitive Interaction Technology CITEC
Erscheinungsjahr
2011
Page URI
https://pub.uni-bielefeld.de/record/2603429

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Klinger R. Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry. Dortmund, Germany: TU Dortmund University of Technology, Computer Science; 2011.
Klinger, R. (2011). Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry. Dortmund, Germany: TU Dortmund University of Technology, Computer Science.
Klinger, Roman. 2011. Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry. Dortmund, Germany: TU Dortmund University of Technology, Computer Science.
Klinger, R. (2011). Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry. Dortmund, Germany: TU Dortmund University of Technology, Computer Science.
Klinger, R., 2011. Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry, Dortmund, Germany: TU Dortmund University of Technology, Computer Science.
R. Klinger, Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry, Dortmund, Germany: TU Dortmund University of Technology, Computer Science, 2011.
Klinger, R.: Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry. TU Dortmund University of Technology, Computer Science, Dortmund, Germany (2011).
Klinger, Roman. Conditional Random Fields for Named Entity Recognition – Feature Selection and Optimization in Biology and Chemistry. Dortmund, Germany: TU Dortmund University of Technology, Computer Science, 2011.
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