ACL RD-TEC 1.0 Summarization of N03-2008
Paper Title:
A MAXIMUM ENTROPY APPROACH TO FRAMENET TAGGING
A MAXIMUM ENTROPY APPROACH TO FRAMENET TAGGING
Authors: Michael Fleischman and Eduard Hovy
Primarily assigned technology terms:
- approximation
- automatic extraction
- chunking
- classification
- classifier
- database
- feature generation
- frame element classification
- frame element identification
- identification
- maximum entropy
- maximum entropy approach
- maximum entropy model
- metagger
- nlp
- parser
- parsers
- part of speech tagging
- processing
- re-ranker
- re-ranking
- search
- semantic classification
- semantic tagging
- speech tagging
- statistical methods
- syntactic feature generation
- syntactic parser
- tagger
- tagging
- text chunking
- tuning
- viterbi
- viterbi search
Other assigned terms:
- approach
- classification task
- data sets
- data sparsity
- development set
- entropy
- extraction process
- feature
- feature set
- feature weights
- frame
- frame element
- framenet
- generation
- governing category
- grammatical function
- grammatical information
- head word
- method
- n-gram
- nlp tasks
- noise
- noun phrase
- parse
- parse tree
- parser output
- part of speech
- phrase
- phrase type
- probabilities
- probability
- probability tag sequence
- process
- semantic
- semantic information
- sentence
- sentences
- standard deviation
- synonyms
- syntactic feature
- syntactic features
- syntactic information
- syntactic pattern
- syntactic patterns
- tag model
- tag sequence
- tagging problem
- tags
- test set
- text
- training
- training data
- tree
- trees
- word
- word classes
- yasmet me package
