ACL RD-TEC 1.0 Summarization of W00-0710
Paper Title:
LEARNING DISTRIBUTED LINGUISTIC CLASSES
LEARNING DISTRIBUTED LINGUISTIC CLASSES
Primarily assigned technology terms:
- algorithm
- approximation
- chunking
- classification
- classifier
- classifiers
- coding
- cross-validation
- database
- decoding
- dichotomizer
- encoding
- error correction
- error recovery
- error-correction
- feature elimination
- feature selection
- grapheme-to-phoneme conversion
- induction
- k-nearest neighbor
- knearest neighbor
- language classification
- language learning
- language processing
- learning
- learning methods
- linguistic analysis
- machine learning
- matching
- memory-based learning
- natural language classification
- natural language learning
- natural language processing
- nearest neighbors
- neural networks
- normalization
- parsing
- processing
- reasoning
- regression
- shallow parsing
- supervised learning
- voting
- voting mechanism
- weighting
Other assigned terms:
- 10-fold cross-validation
- affix
- analogy
- approach
- bias
- case
- classification tasks
- clusters
- cognitive
- composition
- correlation
- data set
- data structure
- distance metric
- distribution
- dutch
- entropy
- experimental results
- feature
- feature sets
- feature space
- feature vector
- feature-value vector
- hamming distance
- heuristic
- implementation
- information gain
- knowledge
- knowledge base
- learning paradigm
- lexical database
- linguistic
- linguistic knowledge
- measures
- mechanisms
- message
- morph
- morpheme
- natural language
- noise
- normal distribution
- phonemes
- posterior
- priori
- probabilities
- projection
- relation
- representations
- signal
- stress
- suffixes
- syllables
- symbol
- symbols
- technique
- terms
- training
- training data
- training set
- word
