ACL RD-TEC 1.0 Summarization of P01-1042

Paper Title:
JOINT AND CONDITIONAL ESTIMATION OF TAGGING AND PARSING MODELS

Other assigned terms:

  • beam
  • bias
  • case
  • computational complexity
  • conditional distribution
  • conditional model
  • conditional probability
  • conditional probability distribution
  • context-free language
  • data set
  • derivation
  • derivations
  • distribution
  • entropy
  • entropy models
  • error rate
  • estimation
  • experimental results
  • f-score
  • fact
  • grammar
  • grammars
  • hmm model
  • input string
  • interpolation
  • joint distribution
  • joint probability
  • language model
  • language models
  • lexical items
  • likelihood
  • linguistic
  • linguistics
  • local tree
  • lookahead
  • markov models
  • maximum entropy models
  • method
  • model parameter
  • model parameters
  • nlp applications
  • nonterminal
  • parse
  • parse tree
  • parsing models
  • parsing research
  • pcfg
  • pcfgs
  • penn tree-bank
  • penn treebank
  • precision
  • priori
  • probabilities
  • probability
  • probability distribution
  • probability distributions
  • procedure
  • running time
  • search procedure
  • sentence
  • sentences
  • sparse data
  • statistic
  • statistical significance
  • structured language model
  • suffix
  • symbol
  • symbols
  • tag sequence
  • tagging accuracy
  • tags
  • term
  • terminals
  • terms
  • test corpus
  • test data
  • test data set
  • test set
  • training
  • training corpus
  • training data
  • transformation
  • tree
  • tree-bank
  • treebank
  • trees
  • word
  • word sequence
  • word sequences
  • word string
  • word strings
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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