ACL RD-TEC 1.0 Summarization of H94-1048
Paper Title:
A MAXIMUM ENTROPY MODEL FOR PREPOSITIONAL PHRASE ATTACHMENT
A MAXIMUM ENTROPY MODEL FOR PREPOSITIONAL PHRASE ATTACHMENT
Authors: Adwait Ratnaparkhi and Jeff Reynar and Salim Roukos
Primarily assigned technology terms:
- algorithm
- clustering
- clustering method
- computing
- decision tree
- decision trees
- feature ranking
- feature selection
- feature selection method
- generalized iterative scaling
- incremental search
- information clustering
- iterative scaling
- maximum entropy
- maximum entropy model
- modeling
- parser
- parsers
- querying
- ranking
- scoring
- search
- selection method
- treebanking
- verb phrases
- word bigram
Other assigned terms:
- annotator
- bigram
- binary tree
- class hierarchy
- class membership
- conditional probability
- conditional probability distribution
- corpora
- delta-likelihood
- distribution
- entropy
- events
- exponential model
- feature
- feature set
- feature sets
- head noun
- head word
- head-word
- human annotator
- human performance
- implementation
- key words
- lexical head
- likelihood
- linguistic
- linguistic phenomena
- log-likelihood
- main verb
- maximum entropy principle
- method
- mutual information
- n-gram
- natural language
- noun phrase
- parse
- parse tree
- phrase
- phrase attachment
- pp-attachment
- preposition
- prepositional phrase
- prepositional phrase attachment
- probability
- probability distribution
- probability model
- procedure
- process
- query
- search problem
- search procedure
- search space
- sentence
- sentences
- statistical models
- statistics
- test data
- test set
- training
- training and test data
- training data
- training set
- tree
- tree structure
- treebank
- trees
- unigram
- verb
- verb attachment
- verb phrase
- vocabulary
- word
- word classes
- word features
- words
- wsj corpus
- wsj treebank
