ACL RD-TEC 1.0 Summarization of W02-1004

Paper Title:
MODELING CONSENSUS: CLASSIFIER COMBINATION FOR WORD SENSE DISAMBIGUATION

Authors: Radu Florian and David Yarowsky

Other assigned terms:

  • adjective
  • agreement rate
  • ambiguous words
  • approach
  • association for computational linguistics
  • basque
  • bigram
  • case
  • chunks
  • class probability
  • classification accuracy
  • classification error
  • conditional probability
  • context size
  • corpora
  • data sets
  • data structure
  • disambiguation task
  • distribution
  • document
  • empirical evaluation
  • english sentence
  • estimation
  • extraction process
  • f-measure
  • fact
  • feature
  • feature space
  • feature type
  • feature types
  • head noun
  • heuristic
  • heuristics
  • interpolation
  • interpolation coefficients
  • lemma
  • likelihood
  • likelihood ratio
  • linguistics
  • log-likelihood
  • measure
  • method
  • mixture models
  • model performance
  • n-grams
  • ngram
  • nouns
  • optimization problem
  • part of speech
  • part-of-speech
  • partsof-speech
  • penn treebank
  • polysemous words
  • posterior
  • posterior probability
  • precision
  • predicate-argument
  • predicate-argument structure
  • probabilities
  • probability
  • probability distribution
  • probability distributions
  • process
  • regular expressions
  • search space
  • selectional restrictions
  • sentence
  • sentences
  • statistics
  • syntactic features
  • syntactic information
  • system performance
  • tags
  • target word
  • technique
  • test data
  • text
  • training
  • training data
  • training samples
  • training size
  • treebank
  • trigram
  • user
  • verb
  • word
  • word level
  • word sense
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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