ACL RD-TEC 1.0 Summarization of W06-1518
Paper Title:
USING LTAG-BASED FEATURES FOR SEMANTIC ROLE LABELING
USING LTAG-BASED FEATURES FOR SEMANTIC ROLE LABELING
Authors: Yudong Liu and Anoop Sarkar
Primarily assigned technology terms:
- aggressive pruning
- algorithm
- argument classification
- argument identification
- classification
- classifier
- computational linguistics
- decomposition
- feature extraction
- feature matching
- feature selection
- identification
- learner
- learning
- learning algorithm
- learning method
- learning methods
- ltag parsing
- machine learning
- machine learning methods
- matching
- parser
- parsing
- pattern matching
- pruning
- semantic role labeling
- shallow parsing
- smoothing
- supervised learning
Other assigned terms:
- adjunction
- annotation
- approach
- association for computational linguistics
- backoff
- classification problem
- community
- conditional probability
- derivation
- derivation tree
- derivation trees
- derivations
- elementary tree
- empty categories
- fact
- feature
- feature vector
- formalisms
- gold standard
- grammar
- heuristic
- heuristic rule
- heuristics
- independence assumption
- labeling
- lexicalized tree-adjoining grammar
- linguistics
- ltag derivation tree
- method
- parse
- parse tree
- parse tree path
- parser output
- parsing accuracy
- parsing models
- part-of-speech
- part-of-speech tag
- penn treebank
- phrase
- phrase type
- predicate-argument
- predicate-argument structures
- probability
- process
- propbank
- propbank corpus
- relation
- role labeling
- root node
- sbar
- semantic
- semantic role
- semantic roles
- sentence
- syntactic constituent
- syntactic parse
- syntactic parse tree
- test data
- training
- training data
- tree
- tree adjoining grammar
- tree path
- tree template
- tree-adjoining grammar
- treebank
- trees
- verb
- word
- word pair
