ACL RD-TEC 1.0 Summarization of P00-1060
Paper Title:
AN INFORMATION-THEORY-BASED FEATURE TYPE ANALYSIS FOR THE MODELING OF STATISTICAL PARSING
AN INFORMATION-THEORY-BASED FEATURE TYPE ANALYSIS FOR THE MODELING OF STATISTICAL PARSING
Authors: Zhifang Sui and Jun Zhao and Dekai Wu
Primarily assigned technology terms:
- algorithm
- analysis method
- classification
- feature type analysis
- feature type selection
- greedy algorithm
- hardware
- language modelling
- modeling
- modelling
- parser
- parsing
- partial parsing
- probabilistic parsing
- quantitative analysis
- statistical parsing
- structure prediction
- syntactic parsing
- syntactic structure prediction
Other assigned terms:
- analysis model
- approach
- baseline model
- co-occurrence
- concepts
- contextual feature
- data sparseness
- derivation
- entropy
- estimation
- events
- feature
- feature type
- feature types
- grammar
- grammar rule
- heuristic
- information gain
- information quantity
- information theory
- knowledge
- leaf
- lexical feature
- lexical information
- linguistic
- linguistic structures
- measure
- method
- methodology
- modifier
- parsing accuracy
- parsing model
- parsing models
- parsing tree
- part-of-speech
- penn treebank
- pos tag
- predictive information
- predictive power
- probabilities
- probability
- relation
- rule sequence
- rule set
- sentence
- sparse data
- sparse data problem
- structural relation
- syntactic structure
- testing set
- theory
- training
- training set
- tree
- treebank
- trees
- word
- word sequence
- words