ACL RD-TEC 1.0 Summarization of N03-1031
Paper Title:
EXAMPLE SELECTION FOR BOOTSTRAPPING STATISTICAL PARSERS
EXAMPLE SELECTION FOR BOOTSTRAPPING STATISTICAL PARSERS
Authors: Mark Steedman and Rebecca Hwa and Stephen Clark and Miles Osborne and Anoop Sarkar and Julia Hockenmaier and Paul Ruhlen and Steven Baker and Jeremiah Crim
Primarily assigned technology terms:
- active learning
- algorithm
- bootstrap
- bootstrapping
- classifiers
- co-training
- collins parser
- difference method
- error reduction
- example selection
- grammar parser
- human language
- interfaces
- iterative training
- language engineering
- language learning
- learner
- learning
- learning methods
- learning technique
- natural language learning
- parameter setting
- parser
- parsers
- parsing
- sample selection
- scoring
- scoring function
- selection method
- selection process
- statistical parsers
- training process
- weak learner
Other assigned terms:
- annotator
- approach
- cache
- case
- conditional probabilities
- conditional probability
- context free grammar
- convergence
- correlation
- data set
- development set
- error rate
- evaluation metric
- experimental results
- f-score
- fact
- gold standard
- grammar
- human annotator
- independence assumption
- interpretation
- labeled training data
- labeling
- lexicalized tree
- measures
- method
- natural language
- oracle
- parameter settings
- parse
- parser output
- parser performance
- partial parses
- penn treebank
- precision
- probabilities
- probability
- process
- seed
- semi-supervised approach
- sentence
- sentences
- set size
- statistical models
- technique
- terms
- theory
- training
- training data
- training examples
- training set
- tree
- tree adjoining grammar
- treebank
- words
- wsj corpus
