ACL RD-TEC 1.0 Summarization of W00-1327
Paper Title:
USING SEMANTICALLY MOTIVATED ESTIMATES TO HELP SUBCATEGORIZATION ACQUISITION
USING SEMANTICALLY MOTIVATED ESTIMATES TO HELP SUBCATEGORIZATION ACQUISITION
Primarily assigned technology terms:
- classification
- learning
- lexical acquisition
- likelihood estimation
- linear interpolation
- linking
- maximum likelihood
- maximum likelihood estimation
- normalization
- parser
- parsers
- ranking
- reporting
- scf acquisition
- shallow parser
- smoothing
- smoothing method
- smoothing techniques
- statistical methods
- statistical techniques
- subcategorization
- subcategorization acquisition
- verb classification
- verbal acquisition
Other assigned terms:
- anlt dictionary
- approach
- baseline performance
- british national corpus
- case
- coefficient
- comlex
- conditional distribution
- corpora
- correlation
- correlation coefficient
- dictionaries
- dictionary
- distribution
- empirical evaluation
- english verbs
- estimation
- events
- f measure
- fact
- hypernym
- hypothesis
- hypothesis test
- interpolation
- kullback-leibler distance
- lexicon
- likelihood
- linear combination
- meaning
- measure
- measures
- method
- noise
- particle
- polysemy
- precision
- predicates
- probabilities
- probability
- probability estimates
- rank correlation
- relative frequency
- scf distribution
- semantic
- semantic class
- semantic classes
- semantic relations
- sentences
- sentential complements
- sparse data
- sparse data problem
- spearman rank correlation
- subcategorization frames
- subcategorization information
- synonym
- terms
- test data
- text
- textual corpora
- tokens
- training
- training data
- verb
- verb class
- verb classes
- verb form
- verb sense
- wordnet
- words
