ACL RD-TEC 1.0 Summarization of W05-0627
Paper Title:
SEMANTIC ROLE LABELING SYSTEM USING MAXIMUM ENTROPY CLASSIFIER
SEMANTIC ROLE LABELING SYSTEM USING MAXIMUM ENTROPY CLASSIFIER
Authors: Ting Liu and Wanxiang Che and Sheng Li and Yuxuan Hu and Huaijun Liu
Primarily assigned technology terms:
- algorithm
- charniak parser
- classi cation
- classi er
- collins parser
- computational linguistics
- computational natural language learning
- estimation algorithm
- full parsing
- information extraction
- l-bfgs parameter estimation
- language learning
- language processing
- learning
- machine translation
- matching
- maximum entropy
- modeling
- multi-class classi cation
- natural language learning
- natural language processing
- parameter estimation
- paraphrasing
- parser
- parsers
- parsing
- post-processing
- processing
- rule-based post-processing
- semantic role labeling
- smoothing
- srl system
- support vector machines
- syntactic parser
- syntactic parsing
Other assigned terms:
- association for computational linguistics
- brown corpus
- characters
- chunk
- data set
- development set
- entropy
- estimation
- evaluation metrics
- feature
- gaussian prior
- head word
- heuristic
- heuristic rule
- interpretation
- labeling
- language processing application
- lemma
- linguistics
- method
- modeling toolkit
- named entity
- natural language
- parse
- parse tree
- parser performance
- part of speech
- particles
- penn treebank
- phrase
- phrase type
- precision
- predicates
- prepositional phrase
- probability
- propbank
- propbank corpus
- role labeling
- scalability
- semantic
- semantic interpretation
- semantic role
- semantic roles
- sentences
- set size
- statistics
- stem
- support vector
- svms
- syntactic constituent
- syntactic constituents
- syntactic head
- system description
- system performance
- target verb
- toolkit
- training
- training corpus
- training data
- training set
- training set size
- training time
- tree
- treebank
- trees
- verb
- word
- word stem
- words
- wsj corpus
