ACL RD-TEC 1.0 Summarization of W04-0832
Paper Title:
SENSEVAL AUTOMATIC LABELING OF SEMANTIC ROLES USING MAXIMUM ENTROPY MODELS
SENSEVAL AUTOMATIC LABELING OF SEMANTIC ROLES USING MAXIMUM ENTROPY MODELS
Authors: Namhee Kwon and Michael Fleischman and Eduard Hovy
Primarily assigned technology terms:
- algorithm
- binary classifier
- boundary identification
- classification
- classifier
- computational linguistics
- entropy classification
- fe identification
- frame element identification
- heuristic method
- identification
- matching
- maximum entropy
- metagger
- parser
- regular expression
- role classification
- search
- segmentation
- semantic analysis
- semantic role tagging
- sentence segmentation
- tagging
- viterbi
- viterbi search
Other assigned terms:
- adjective
- association for computational linguistics
- class information
- convergence
- data set
- entropy
- entropy models
- feature
- feature set
- feature sets
- feature weights
- frame
- frame element
- framenet
- governing category
- grammatical type
- heuristic
- labeling
- lexical item
- linguistics
- maximum entropy models
- method
- noun phrase
- parse
- parse tree
- part of speech
- part of speech tags
- phrase
- phrase type
- precision
- probabilities
- proper noun
- segments
- semantic
- semantic frame
- semantic role
- semantic roles
- sentence
- sentence level
- sentences
- surface form
- syntactic head
- syntactic parse
- syntactic parse tree
- syntactic pattern
- syntactic patterns
- syntactic phrase
- tag sequence
- tags
- target word
- test set
- text
- training
- training set
- tree
- trees
- verb
- word
- words
- yasmet me package
