ACL RD-TEC 1.0 Summarization of P01-1069

Paper Title:
TEXT CHUNKING USING REGULARIZED WINNOW

Authors: Tong Zhang and Fred Damerau and David Johnson

Other assigned terms:

  • approach
  • binary classification problem
  • binary features
  • case
  • chunk
  • chunk tag
  • chunk type
  • chunks
  • classification accuracy
  • classification problem
  • convergence
  • dependency grammar
  • dependency structure
  • derivation
  • disjunction
  • entropy
  • experimental results
  • feature
  • feature list
  • feature space
  • feature value
  • feature vector
  • grammar
  • implementation
  • language processing tasks
  • large feature space
  • learning rate
  • learning rate parameter
  • linguistic
  • linguistic features
  • maps
  • markov models
  • measure
  • memory consumption
  • method
  • natural language
  • natural language processing tasks
  • nlp applications
  • nlp tasks
  • noun phrase
  • numerical stability
  • optimization problem
  • parse
  • parser output
  • part-of-speech
  • penn treebank
  • phrase
  • phrase structure
  • phrase structure grammar
  • pos tag
  • precision
  • prepositional phrase
  • process
  • processing tasks
  • punctuation
  • regularization parameter
  • second order feature
  • sentence
  • sentences
  • slot
  • snow architecture
  • statistical natural language
  • support vector
  • system description
  • system design
  • tags
  • test set
  • text
  • theory
  • time complexity
  • tokens
  • training
  • training data
  • training set
  • training time
  • transformation
  • treebank
  • verb
  • verb phrase
  • weight vector
  • word
  • words
  • wsj corpus
  • wsj treebank

Extracted Section Types:


This page last edited on 10 May 2017.

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