ACL RD-TEC 1.0 Summarization of W02-2016
Paper Title:
JAPANESE DEPENDENCY ANALYSIS USING CASCADED CHUNKING
JAPANESE DEPENDENCY ANALYSIS USING CASCADED CHUNKING
Authors: Taku Kudo and Yuji Matsumoto
Primarily assigned technology terms:
- algorithm
- binary classifier
- bottom-up parsing
- bottom-up parsing algorithm
- cascaded chucking
- cascaded chunking
- cascaded chunking parsing
- chucking
- chunking
- chunking parsing
- classification
- classifier
- cross validation
- cyk algorithm
- decision trees
- dependency analysis
- dependency parser
- dependency structure analysis
- english parsing
- japanese dependency analysis
- japanese dependency parser
- japanese sentence analysis
- kernel
- learning
- learning algorithm
- learning algorithms
- learning approaches
- learning program
- likelihood estimation
- machine learning
- machine learning algorithm
- machine learning algorithms
- machine learning approaches
- maximum entropy
- maximum likelihood
- maximum likelihood estimation
- optimization
- parser
- parsers
- parsing
- parsing algorithm
- parsing method
- parsing technique
- polynomial kernel
- searching
- sentence analysis
- statistical approaches
- statistical japanese dependency parser
- structure analysis
- support vector machines
- two-fold cross validation
- validation
Other assigned terms:
- adverb
- annotated corpora
- annotated corpus
- bunsetsu
- cascaded chunking model
- case
- chunk
- chunking model
- conditional probability
- corpora
- data set
- dependency pattern
- dependency relation
- dependency relations
- dependency structure
- entropy
- entropy models
- estimation
- experimental results
- experimental setting
- feature
- feature set
- feature sets
- feature vector
- feature vectors
- functional word
- head word
- heuristics
- hypotheses
- inflection
- japanese dependency
- japanese dependency structure
- kernel function
- kyoto university corpus
- kyoto university text corpus
- likelihood
- linguistic
- linguistic features
- maximum entropy models
- meaning
- method
- modifier
- optimization problem
- parse
- parsing accuracy
- parsing process
- particle
- particles
- parts-of-speech
- phrase
- pos tag
- positive and negative examples
- probabilistic model
- probabilistic models
- probabilities
- probability
- process
- punctuation
- punctuation marks
- relation
- scalability
- segments
- sentence
- sentences
- sigmoid function
- stems
- support vector
- svms
- syntactic structure
- tags
- technique
- terms
- test data
- text
- text corpus
- training
- training and test data
- training corpus
- training data
- training efficiency
- training examples
- trees
- word
- words
