JOURNAL ARTICLE
Memory-based named entity recognition
Abstract
We apply a memory-based learner to the CoNLL-2002 shared task: language-independent named entity recognition. We use three additional techniques for improving the base performance of the learner: cascading, feature
Keywords:
Computer science Task (project management) Natural language processing Named-entity recognition Entity linking Substring Artificial intelligence Feature (linguistics) Selection (genetic algorithm) Knowledge base Linguistics Programming language Set (abstract data type)
Metrics
40
Cited By
1.86
FWCI (Field Weighted Citation Impact)
5
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Topic Modeling
Physical Sciences → Computer Science → Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences → Computer Science → Artificial Intelligence
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