ACL RD-TEC 1.0 Summarization of W06-0122
Paper Title:
ON USING ENSEMBLE METHODS FOR CHINESE NAMED ENTITY RECOGNITION
ON USING ENSEMBLE METHODS FOR CHINESE NAMED ENTITY RECOGNITION
Authors: Chia-Wei Wu and Shyh-Yi Jan and Richard Tzong-Han Tsai and Wen-Lian Hsu
Primarily assigned technology terms:
- algorithm
- chinese language processing
- chinese named entity recognition
- classifier
- classifiers
- computational linguistics
- conditional random field
- crfs
- entity recognition
- entity tagger
- estimation process
- language processing
- learner
- learning
- learning method
- machine learning
- maximum entropy
- maximum entropy model
- memory-based classifier
- memory-based learner
- memory-based learning
- memory-based learning method
- modeling
- modeling technique
- named entity recognition
- named entity tagger
- processing
- recognition
- search
- sequence labeling
- statistical modeling
- tagger
- tagging
- viterbi
- viterbi algorithm
- voting
Other assigned terms:
- approach
- association for computational linguistics
- bigram
- bigram model
- characters
- chinese characters
- chinese corpus
- chinese language
- chinese words
- conditional probability
- corpora
- crf model
- entropy
- error rate
- estimation
- feature
- feature sets
- feature type
- labeling
- linguistics
- method
- named entities
- named entity
- names
- person names
- precision
- probability
- process
- relative frequency
- simplified chinese
- tags
- technique
- test corpus
- training
- training corpus
- training set
- undirected graph
- word
- word features
- word information
- words
