ACL RD-TEC 1.0 Summarization of P05-1044

Paper Title:
CONTRASTIVE ESTIMATION: TRAINING LOG-LINEAR MODELS ON UNLABELED DATA

Authors: Noah A. Smith and Jason Eisner

Other assigned terms:

  • acoustic models
  • alphabet
  • ambiguous words
  • approach
  • bias
  • case
  • classification problem
  • composition
  • convergence
  • correlations
  • dependency grammar
  • development set
  • dictionaries
  • dictionary
  • distribution
  • domain knowledge
  • entropy
  • estimation
  • feature
  • feature set
  • feature sets
  • feature types
  • feature value
  • feature weight
  • feature weights
  • gaussian prior
  • generative model
  • generative models
  • grammar
  • hypotheses
  • hypothesis
  • improved search
  • input string
  • kl divergence
  • knowledge
  • labeling
  • language syntax
  • lattice
  • lattices
  • lexemes
  • lexicon
  • likelihood
  • linguistic
  • linguistic structure
  • linguists
  • local maxima
  • local maximum
  • log-linear models
  • mapping
  • maximum entropy principle
  • meaning
  • measure
  • method
  • namedentity
  • natural language
  • natural language syntax
  • oracle
  • pcfgs
  • pos sequence
  • pos tag
  • probabilistic model
  • probabilistic models
  • probability
  • punctuation
  • relation
  • representations
  • sentence
  • sentences
  • smoothing parameter
  • substring
  • suffixes
  • symbol
  • syntactic model
  • syntax
  • tag set
  • tagging accuracy
  • tags
  • technique
  • term
  • terms
  • text
  • topology
  • training
  • training data
  • training example
  • training examples
  • training set
  • trigram
  • unigram
  • unigram model
  • unlabeled examples
  • unlabeled text
  • vocabulary
  • word
  • word order
  • word types
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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