ACL RD-TEC 1.0 Summarization of W00-0721
Paper Title:
SHALLOW PARSING BY INFERENCING WITH CLASSIFIERS
SHALLOW PARSING BY INFERENCING WITH CLASSIFIERS
Authors: Vasin Punyakanok and Dan Roth
Primarily assigned technology terms:
- algorithm
- artificial neural networks
- automaton
- boolean constraint satisfaction
- classifier
- classifiers
- dynamic programming
- dynamic programming algorithm
- finite state
- finite state automaton
- hmms
- identification
- information extraction
- information extraction and segmentation
- learning
- learning methods
- markov model
- markov modeling
- maximum entropy
- maximum entropy classifiers
- modeling
- naive bayes
- neural networks
- parsing
- phrase recognition
- probabilistic generation
- probabilistic method
- processing
- programming algorithm
- recognition
- segmentation
- shallow parsing
- shortest path
- speech recognition
- state automaton
- viterbi
Other assigned terms:
- approach
- base noun
- boolean constraint
- case
- conditional probability
- constraint satisfaction
- data sets
- distribution
- entropy
- feature
- feature set
- feature sets
- feature space
- formalism
- formalisms
- generation
- hmm model
- independence assumption
- input string
- lexical features
- lexical information
- markov models
- mechanisms
- method
- natural language
- noun phrases
- part of speech
- penn treebank
- phrase
- phrase structure
- probabilistic approach
- probability
- probability distribution
- probability distributions
- process
- projection
- representations
- sigmoid function
- substring
- symbol
- symbols
- tags
- target word
- term
- terms
- training
- training data
- transition probability
- treebank
- wall street journal corpus
- word
- words
