ACL RD-TEC 1.0 Summarization of W03-0425
Paper Title:
NAMED ENTITY RECOGNITION THROUGH CLASSIFIER COMBINATION
NAMED ENTITY RECOGNITION THROUGH CLASSIFIER COMBINATION
Authors: Radu Florian and Abe Ittycheriah and Hongyan Jing and Tong Zhang
Primarily assigned technology terms:
- algorithm
- capitalization
- classification
- classification method
- classifier
- classifier combination
- classifiers
- cross-validation
- cutoff
- decoding
- entity recognition
- entropy classifier
- error-driven algorithm
- hidden markov
- hidden markov model
- iterative scaling
- learning
- learning method
- linear interpolation
- machine learning
- markov model
- maxent
- maxent classifier
- maximum entropy
- maximum entropy classifier
- modeling
- named entity recognition
- recognition
- risk minimization
- robust risk minimization
- search
- sequence classification
- tagging
- transformation-based learning
- viterbi
- viterbi algorithm
- voting
- weighted voting
Other assigned terms:
- bigram
- bigram language model
- case
- chunk
- class probability
- corpora
- data sparseness
- data sparseness problem
- distribution
- entity type
- entity types
- entropy
- estimation
- experimental results
- f-measure
- feature
- feature design
- feature space
- feature types
- gazetteer
- implementation
- information sources
- interpolation
- knowledge
- labeling
- language model
- likelihood
- method
- methodology
- named entities
- named entity
- named entity type
- names
- nouns
- part-of-speech
- posterior
- probabilities
- probability
- probability distribution
- probability distributions
- procedure
- sources of information
- sparseness problem
- system description
- tagging task
- tags
- test corpora
- text
- training
- training data
- training time
- transition probabilities
- web pages
- word
- words
