ACL RD-TEC 1.0 Summarization of W04-2419
Paper Title:
SEMANTIC ROLE LABELING USING MAXIMUM ENTROPY MODEL
SEMANTIC ROLE LABELING USING MAXIMUM ENTROPY MODEL
Authors: Joon-Ho Lim and Young-Sook Hwang and So-Young Park and Hae-Chang Rim
Primarily assigned technology terms:
- accurate semantic role labeling
- algorithm
- automatic semantic role labeling
- binary classifier
- classification
- classifier
- clustering
- estimation algorithm
- kernel
- l-bfgs parameter estimation
- learning
- learning algorithm
- learning approaches
- learning technique
- linking
- machine learning
- machine learning algorithm
- machine learning approaches
- maxent
- maximum entropy
- maximum entropy framework
- maximum entropy model
- multi-class classification
- nlp
- normalization
- parameter estimation
- polynomial kernel
- post-processing
- processing
- semantic role labeling
- smoothing
- support vector machine
- weighting
Other assigned terms:
- approach
- case
- chunk
- chunks
- computational complexity
- conditional probability
- contextual information
- data sparseness
- data sparseness problem
- development set
- device
- discriminative model
- entropy
- estimation
- experimental results
- feature
- feature set
- feature sets
- gaussian prior
- generative model
- head word
- heuristic
- incremental approach
- interpolation
- interpretation
- kernel function
- knowledge
- labeling
- linguistic
- linguistic knowledge
- method
- named entities
- normalization factor
- parse
- parse tree
- partial parse
- partial parse tree
- passive voice
- probabilistic model
- probability
- pronoun
- relation
- relative clause
- relative pronoun
- role labeling
- semantic
- semantic interpretation
- semantic role
- semantic role label
- semantic roles
- sentence
- sparseness problem
- support vector
- syntactic information
- syntactic knowledge
- syntax
- tags
- technique
- terms
- test set
- thematic roles
- toolkit
- training
- training set
- tree
- word
- words
