ACL RD-TEC 1.0 Summarization of W02-1006

Paper Title:
AN EMPIRICAL EVALUATION OF KNOWLEDGE SOURCES AND LEARNING ALGORITHMS FOR WORD SENSE DISAMBIGUATION

Authors: Yoong Keok Lee and Hwee Tou Ng

Other assigned terms:

  • adjective
  • alphabet
  • approach
  • association for computational linguistics
  • benchmark
  • benchmark data set
  • bigram
  • binary feature
  • binary features
  • case
  • collocation
  • constituent tree
  • data set
  • data sets
  • dependency tree
  • dictionary
  • dictionary definition
  • empirical evaluation
  • empirical results
  • evaluation data
  • experimental results
  • feature
  • feature value
  • feature vector
  • implementation
  • information gain
  • information model
  • kernel function
  • knowledge
  • linguistics
  • linguists
  • meanings
  • method
  • morphological information
  • natural language
  • natural language text
  • nouns
  • parse
  • part-of-speech
  • parts-of-speech
  • pos tag
  • posterior
  • posterior probability
  • precision
  • probability
  • process
  • punctuation
  • regularization parameter
  • root node
  • scalability
  • sentence
  • sentence boundary
  • sentences
  • statistic
  • support vector
  • symbol
  • symbols
  • syntactic relations
  • tags
  • test data
  • test set
  • text
  • thesaurus
  • tokens
  • training
  • training and test data
  • training data
  • training examples
  • tree
  • tree structure
  • trees
  • verb
  • word
  • word form
  • word sense
  • wordnet
  • wordnet senses
  • words
  • wsd evaluation

Extracted Section Types:


This page last edited on 10 May 2017.

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