ACL RD-TEC 1.0 Summarization of W04-2420
Paper Title:
TWO-PHASE SEMANTIC ROLE LABELING BASED ON SUPPORT VECTOR MACHINES
TWO-PHASE SEMANTIC ROLE LABELING BASED ON SUPPORT VECTOR MACHINES
Authors: Kyung-Mi Park and Young-Sook Hwang and Hae-Chang Rim
Primarily assigned technology terms:
- algorithm
- argument classification
- argument identification
- binary classifier
- classification
- classification method
- classifier
- classifiers
- identification
- kernel
- learning
- learning algorithm
- machine learning
- machine learning algorithm
- modeling
- multiclass classification
- one-vs-rest classification
- parser
- parsing
- partial parsing
- polynomial kernel
- role assignment
- search
- semantic role assignment
- semantic role labeling
- support vector machines
- svm light
- two-phase semantic role labeling
Other assigned terms:
- approach
- binary feature
- case
- chunk
- chunk tag
- chunk type
- chunks
- class distribution
- classification accuracy
- classification problem
- classification task
- dependency relation
- dependency relations
- development set
- distribution
- experimental results
- f-measure
- feature
- feature set
- feature sets
- feature value
- identification task
- knowledge
- knowledge base
- labeling
- lexico-semantic knowledge base
- method
- named-entity
- parsing information
- phrase
- procedure
- proposition
- relation
- role labeling
- sbar
- search space
- semantic
- semantic information
- semantic relationship
- semantic role
- semantic roles
- sentence
- sentences
- sentential form
- support vector
- svms
- syntactic and semantic information
- syntactic constituent
- syntactic head
- target verb
- terms
- test set
- training
- training data
- unbalanced class distribution
- verb
- word
- words
