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IJCSA
2008
132views more  IJCSA 2008»
13 years 7 months ago
Biomedical Named Entity Recognition Based on Classifiers Ensemble
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
Haochang Wang, Tiejun Zhao, Hongye Tan, Shu Zhang
EMNLP
2010
13 years 5 months ago
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
Named-entity recognition (NER) is an important task required in a wide variety of applications. While rule-based systems are appealing due to their well-known "explainability...
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao ...
BMCBI
2008
117views more  BMCBI 2008»
13 years 7 months ago
Cascaded classifiers for confidence-based chemical named entity recognition
Chemical named entities represent an important facet of biomedical text. We have developed a system to use character-based ngrams, Maximum Entropy Markov Models and rescoring to r...
Peter Corbett, Ann A. Copestake
LREC
2008
102views Education» more  LREC 2008»
13 years 9 months ago
Constructing Evaluation Corpora for Automated Clinical Named Entity Recognition
We report on the construction of a gold-standard dataset consisting of annotated clinical notes suitable for evaluating our biomedical named entity recognition system. The dataset...
Philip V. Ogren, Guergana K. Savova, Christopher G...
ACL
2006
13 years 9 months ago
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
Vijay Krishnan, Christopher D. Manning