ACL RD-TEC 1.0 Summarization of C94-1023
Paper Title:
AUTOMATIC MODEL REFINEMENT - WITH AN APPLICATION TO TAGGING
AUTOMATIC MODEL REFINEMENT - WITH AN APPLICATION TO TAGGING
Authors: Yi-Chung Lin and Tung-Hui Chiang and Keh-Yih Su
Primarily assigned technology terms:
- adaptive learning
- algorithm
- automatic model refinement
- back-off smoothing
- classification
- classitication
- cross-validation
- cross-validation method
- end-of-sentence detection
- error reduction
- feature selection
- language processing
- learning
- model refinement
- modeling
- natural language processing
- nlp
- part of speech tagging
- probabilistic classification
- processing
- pruning
- regression
- smoothing
- speech tagging
- splitting
- statistical methods
- statistical nlp
- tagger
- tagging
- tile
- tuning
- v-fom cross-validation
- validation
- weighting
- word bigram
Other assigned terms:
- approach
- bigram
- brown corpus
- classification model
- classification tree
- classitication model
- context information
- contextual information
- corpora
- corpus size
- error rate
- error reduction rate
- estimation
- experimental results
- feature
- feature vector
- feature vectors
- knowledge
- labeling
- lexical categories
- lexical category
- measure
- method
- model parameters
- natural language
- part of speech
- parts of speech
- performance evaluation
- probabilistic model
- probabilistic models
- process
- regression tree
- sentence
- sentences
- tagging model
- tagging problem
- tags
- testing corpus
- testing data
- testing set
- tokens
- training
- training data
- training set
- tree
- trigram
- word
- words
