ACL RD-TEC 1.0 Summarization of W02-1002

Paper Title:
CONDITIONAL STRUCTURE VERSUS CONDITIONAL ESTIMATION IN NLP MODELS

Authors: Dan Klein and Christopher D. Manning

Other assigned terms:

  • approach
  • atis treebank
  • bias
  • case
  • conditional distribution
  • conditional independence
  • conditional markov model
  • conditional model
  • conditional probabilities
  • conditional probability
  • context words
  • corpora
  • data corpus
  • data set
  • data sets
  • determiner
  • determiners
  • distribution
  • entropy
  • error rate
  • estimation
  • events
  • fact
  • feature
  • generation
  • hmm model
  • hypothesis
  • interpretation
  • joint distribution
  • knowledge
  • labeling
  • language model
  • likelihood
  • linguistic
  • linguistic data
  • linguistics
  • measure
  • method
  • model parameters
  • model structure
  • nlp applications
  • nlp task
  • nlp tasks
  • optimization problem
  • parse
  • parsing accuracy
  • parsing model
  • part-of-speech
  • pcfg
  • penn treebank
  • predeterminer
  • priori
  • probabilities
  • probability
  • process
  • relation
  • relative frequency
  • sentence
  • set size
  • signal
  • statistical model
  • tag sequence
  • tagging accuracy
  • tags
  • target word
  • term
  • terms
  • test corpora
  • test data
  • test set
  • theory
  • training
  • training data
  • training set
  • training set size
  • training time
  • treebank
  • unigram
  • unigram language model
  • vocabulary
  • word
  • word sense
  • word sequence
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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