ACL RD-TEC 1.0 Summarization of P02-1063
Paper Title:
REVISION LEARNING AND ITS APPLICATION TO PART-OF-SPEECH TAGGING
REVISION LEARNING AND ITS APPLICATION TO PART-OF-SPEECH TAGGING
Authors: Tetsuji Nakagawa and Taku Kudo and Yuji Matsumoto
Primarily assigned technology terms:
- algorithm
- analyzer
- binary classification
- binary classifier
- categorization
- classification
- classification algorithm
- classifier
- classifiers
- computational linguistics
- corpus-based natural language processing
- decision trees
- disambiguation
- hidden markov
- hidden markov models
- hmms
- japanese morphological analysis
- japanese morphological analyzer
- kernel
- language processing
- learner
- learning
- learning algorithm
- learning method
- learning process
- linear kernel
- linear kernel function
- machine learning
- machine learning algorithm
- maximum entropy
- morphological analysis
- morphological analyzer
- multi-class classification
- natural language processing
- one-versus-rest method
- part-of-speech tagging
- polynomial kernel
- pos tagger
- pos tagging
- processing
- processor
- ranking
- revision learning
- segmentation
- segmentation and pos tagging
- sense disambiguation
- sequential learning
- supervised learning
- supervised machine learning
- support vector machines
- syntactic analysis
- tagger
- tagging
- text categorization
- training procedure
- unknown word processing
- word processing
- word sense disambiguation
Other assigned terms:
- approach
- bigram
- bigram model
- binary classification problem
- break
- case
- characters
- classification problem
- classification task
- conditional probability
- dictionary
- english part-of-speech
- entropy
- entropy models
- experimental results
- generative probability
- inflection
- ipadic
- kernel function
- language data
- language processing tasks
- lattice
- learning model
- linguistics
- markov models
- maximum entropy models
- measures
- method
- morpheme
- morphemes
- multi-class classification problem
- natural language
- natural language processing tasks
- part-of-speech
- particle
- particles
- penn treebank
- pos bigram
- pos category
- pos tag
- positive and negative examples
- prefixes and suffixes
- probability
- procedure
- process
- processing tasks
- ranking order
- sentence
- sentences
- spoken language
- stems
- stochastic model
- suffixes
- support vector
- svms
- tagging task
- tags
- test data
- test phase
- text
- training
- training data
- training example
- training examples
- training phase
- training time
- transformation
- transformation rules
- tree
- treebank
- treebank wsj corpus
- trees
- trigram
- unigram
- verb
- word
- word sense
- words
- wsj corpus
