ACL RD-TEC 1.0 Summarization of W04-2406

Paper Title:
WORD SENSE DISCRIMINATION BY CLUSTERING CONTEXTS IN VECTOR AND SIMILARITY SPACES

Authors: Amruta Purandare and Ted Pedersen

Other assigned terms:

  • approach
  • baseline clustering
  • bigram
  • british national corpus
  • case
  • cluster
  • clustering space
  • clusters
  • co-occurrence
  • co-occurrence information
  • co-occurrence matrix
  • co-occurrences
  • concept
  • concepts
  • confusion matrix
  • content words
  • context vector
  • context vectors
  • convergence
  • corpora
  • data sets
  • dictionary
  • dictionary definitions
  • dimensionality
  • estimation
  • exact match
  • experimental results
  • f-measure
  • fact
  • feature
  • feature set
  • feature sets
  • feature space
  • feature vectors
  • frequency counts
  • graph theory
  • hypothesis
  • index
  • large corpora
  • large corpus
  • latent semantic
  • likelihood
  • likelihood ratio
  • log-likelihood
  • log-likelihood ratio
  • mapping
  • measure
  • method
  • nouns
  • pairs of words
  • part of speech
  • parts of speech
  • precision
  • process
  • reordering
  • representations
  • search strategy
  • second order context
  • semantic
  • semantic space
  • sense-tagged corpora
  • sentences
  • similarity matrix
  • sparse data
  • speech information
  • style
  • tagged corpora
  • tagged corpus
  • tags
  • target word
  • technique
  • test data
  • test set
  • text
  • theory
  • training
  • training and test data
  • training corpus
  • training data
  • vector space
  • word
  • word co-occurrence
  • word level
  • word sense
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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