ACL RD-TEC 1.0 Summarization of W05-0503
Paper Title:
USING MORPHOLOGY AND SYNTAX TOGETHER IN UNSUPERVISED LEARNING
USING MORPHOLOGY AND SYNTAX TOGETHER IN UNSUPERVISED LEARNING
Authors: Yu Hu and Irina Matveeva and John Goldsmith and Colin Sprague
Primarily assigned technology terms:
- algorithm
- analyzer
- bootstrap
- classification
- collapsing
- computing
- grammar induction
- induction
- information retrieval
- information retrieval and classification
- learner
- learning
- lexical analysis
- linguistic analysis
- machine learning
- machine translation
- morphological analysis
- morphology
- morphology analyzer
- optimization
- preprocessing
- reading
- signature collapsing
- text preprocessing
- unsupervised learning
Other assigned terms:
- affix
- affixes
- ambiguity
- approach
- brown corpus
- case
- cluster
- context vector
- context vectors
- data sparsity
- device
- dimensionality
- distribution
- document
- document frequency
- fact
- feature
- grammar
- grammatical description
- inverse document frequency
- labeling
- lexical categories
- lexical category
- linguistic
- linguistic description
- meaning
- measure
- method
- minimum description length
- morpheme
- mutual information
- natural languages
- nouns
- parameter settings
- part of speech
- part of speech tags
- part-of-speech
- part-of-speech tag
- plural noun
- pointwise mutual information
- pos tag
- probabilities
- probability
- relation
- similarity measure
- similarity threshold
- stem
- stems
- suffix
- suffixes
- symbol
- syntactic categories
- syntactic context
- syntax
- tags
- term
- terms
- text
- tokens
- transformation
- understanding
- vertex
- vocabulary
- word
- word frequencies
- word type
- word types
- words
