ACL RD-TEC 1.0 Summarization of W99-0620
Paper Title:
LEARNING DISCOURSE RELATIONS WITH ACTIVE DATA SELECTION
LEARNING DISCOURSE RELATIONS WITH ACTIVE DATA SELECTION
Authors: Tadashi Nomoto and Yuji Matsumoto
Primarily assigned technology terms:
- algorithm
- bootstrap
- bootstrap sampling
- bootstrapping
- classification
- classifier
- classifiers
- collapsing
- committee-based sampling
- cross validation
- cutoff
- data selection
- decision tree
- decision tree algorithm
- decision tree classifier
- hidden markov
- hidden markov model
- hmm tagger
- illustration
- learning
- learning algorithm
- machine leaning
- machine learning
- markov model
- measuring
- random sampling
- randomization
- sampling
- statistical technique
- tagger
- tagging
- topic marker
- tree algorithm
- tree classifier
- validation
Other assigned terms:
- 10-fold cross validation
- abbreviations
- agreement rate
- annotation
- annotation task
- approach
- bigram
- binary feature
- binomial distribution
- characters
- coefficient
- computational research
- concepts
- data sparseness
- data sparseness problem
- decision tree model
- dice
- dice coefficient
- discourse
- discourse information
- discourse relation
- discourse relations
- distribution
- entropy
- error rate
- fact
- feature
- hmm model
- implementation
- kappa
- kappa statistic
- knowledge
- labeling
- learning strategy
- lexical similarity
- linguistics
- linguistics literature
- measure
- measures
- method
- model parameter
- model parameters
- multinomial distribution
- n-grams
- nominals
- normal distribution
- nouns
- paragraph
- parameter values
- particles
- parts of speech
- posterior
- posterior probability
- probabilities
- probability
- probability distribution
- procedure
- process
- relation
- rhetorical structure
- rhetorical structure theory
- semantic
- semantic relations
- sentence
- sentences
- sparseness problem
- statistic
- statistics
- subclass
- tagged corpus
- tagging task
- tags
- taxonomy
- technique
- term
- terms
- text
- theory
- training
- training corpus
- training data
- training example
- training samples
- training set
- tree
- tree model
- verb
- word
- words
