ACL RD-TEC 1.0 Summarization of N06-1036

Paper Title:
BACKOFF MODEL TRAINING USING PARTIALLY OBSERVED DATA: APPLICATION TO DIALOG ACT TAGGING

Authors: Gang Ji and Jeff Bilmes

Other assigned terms:

  • annotation
  • approach
  • backoff
  • backoff model
  • baseline model
  • bias
  • bigram
  • case
  • chunk
  • conditional probability
  • convergence
  • conversation
  • corpora
  • data set
  • data sparseness
  • development set
  • dialog
  • dialog act
  • discourse
  • discourse structures
  • distribution
  • entropy
  • entropy models
  • error rate
  • estimation
  • evaluations
  • experimental results
  • fact
  • factored language model
  • feature
  • generation
  • generative description
  • generative model
  • geometric distribution
  • histogram
  • hypothesis
  • implementation
  • joint distribution
  • joint probability
  • knowledge
  • language model
  • language model structure
  • language models
  • likelihood
  • markov chain
  • markov models
  • maximum entropy models
  • meaning
  • method
  • methodology
  • model complexity
  • model structure
  • natural language
  • noun phrase
  • phrase
  • probability
  • probability distributions
  • procedure
  • prosody
  • research topic
  • semantic
  • sentence
  • sentences
  • standard deviation
  • statistics
  • tagging accuracy
  • tags
  • technique
  • test data
  • test set
  • text
  • toolkit
  • topics
  • trained model
  • training
  • training corpus
  • training data
  • training set
  • training time
  • transition matrix
  • transition probability
  • trees
  • understanding
  • verb
  • verb phrase
  • word
  • word distribution
  • word model
  • word sequence
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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