ACL RD-TEC 1.0 Summarization of W04-2422
Paper Title:
LEARNING TRANSFORMATION RULES FOR SEMANTIC ROLE LABELING
LEARNING TRANSFORMATION RULES FOR SEMANTIC ROLE LABELING
Authors: Ken Williams and Christopher Dozier and Andrew McCulloh
Primarily assigned technology terms:
- algorithm
- computational natural language learning
- error-driven approach
- error-driven learning
- grouping
- hill-climbing
- iterative algorithm
- iterative learning
- labeler
- language learning
- learner
- learning
- learning algorithm
- learning approach
- linguistic parsing
- look-behind reordering
- natural language learning
- parsing
- part-of-speech tagging
- rule-based learning
- rule-learning
- search
- searching
- semantic role labeling
- tagging
- transformation-based error-driven learning
Other assigned terms:
- annotation
- annotation scheme
- approach
- argument structure
- case
- chunk
- chunks
- clause structure
- comparative study
- concept
- experimental setting
- fact
- implementation
- infinitive form
- knowledge
- labeling
- learning strategy
- lemma
- lexical information
- linguistic
- methodology
- natural language
- part-of-speech
- part-of-speech tagging task
- passive verb
- phrase
- propbank
- proposition
- reordering
- role labeling
- search strategy
- semantic
- semantic role
- style
- tagging task
- tags
- technique
- term
- test set
- text
- tokens
- training
- training corpus
- training data
- training set
- transformation
- transformation rules
- verb
- verb argument
- verb phrase
