ACL RD-TEC 1.0 Summarization of W05-0632
Paper Title:
MAXIMUM ENTROPY BASED SEMANTIC ROLE LABELING
MAXIMUM ENTROPY BASED SEMANTIC ROLE LABELING
Authors: Kyung-Mi Park and Hae-Chang Rim
Primarily assigned technology terms:
- algorithm
- argument classification
- argument identification
- automatic information extraction
- classification
- classifier
- classifiers
- computational linguistics
- computational natural language learning
- estimation algorithm
- identification
- information extraction
- l-bfgs parameter estimation
- language learning
- learning
- learning approaches
- machine learning
- machine learning approaches
- maxent
- maximum entropy
- maximum entropy model
- natural language learning
- parameter estimation
- pre-processing
- search
- semantic role labeling
- smoothing
Other assigned terms:
- association for computational linguistics
- binary feature
- case
- chunk
- classification task
- clause boundary
- development set
- entropy
- estimation
- experimental results
- feature
- feature sets
- gaussian prior
- governing category
- identification task
- labeling
- linguistics
- main clause
- measure
- method
- natural language
- nonterminal
- nonterminals
- parse
- parse tree
- phrase
- phrase structure
- phrase structure rule
- precision
- relation
- role labeling
- sbar
- search space
- semantic
- semantic relation
- semantic role
- semantic roles
- sentences
- structure rule
- syntactic category
- syntactic constituents
- system description
- system performance
- test set
- toolkit
- training
- training set
- tree
- trees
- verb
- word
