ACL RD-TEC 1.0 Summarization of A97-1056

Paper Title:
SEQUENTIAL MODEL SELECTION FOR WORD SENSE DISAMBIGUATION

Authors: Ted Pedersen and Rebecca Brucet and Janyce Wiebe

Other assigned terms:

  • ambiguous word
  • ambiguous words
  • approach
  • bayes model
  • case
  • classification accuracy
  • comparative study
  • conditional distribution
  • contemporary english
  • contextual feature
  • contextual features
  • dictionary
  • distribution
  • entropy
  • entropy models
  • experimental results
  • fact
  • feature
  • feature set
  • feature vector
  • feature vectors
  • generation
  • graphical representation
  • joint distribution
  • joint probability
  • joint probability distribution
  • ldoce
  • likelihood
  • log-likelihood
  • log-likelihood ratio
  • log-linear models
  • markov chain
  • maximum entropy models
  • measure
  • methodology
  • model fit
  • model parameters
  • multinomial distribution
  • n-gram
  • n-gram models
  • n-grams
  • naive bayes model
  • nouns
  • part of speech
  • partof-speech
  • predictive power
  • probabilistic model
  • probability
  • probability distribution
  • procedure
  • process
  • search strategy
  • sentence
  • sentences
  • sequential model
  • sparse data
  • statistic
  • statistical approach
  • statistical models
  • statistics
  • tags
  • text
  • training
  • training data
  • tree
  • verb
  • wall street journal corpus
  • word
  • word sense
  • words
  • wsj corpus

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***