ACL RD-TEC 1.0 Summarization of N04-3008

Paper Title:
SENSECLUSTERS - FINDING CLUSTERS THAT REPRESENT WORD SENSES

Authors: Amruta Purandare and Ted Pedersen

Other assigned terms:

  • approach
  • bigram
  • case
  • cluster
  • clusters
  • co-occurrence
  • co-occurrences
  • coefficient
  • concept
  • concepts
  • confusion matrix
  • context vector
  • context vectors
  • corpora
  • dice
  • dice coefficient
  • dimensionality
  • distribution
  • document
  • email
  • evaluation metrics
  • feature
  • feature space
  • feature type
  • feature types
  • gnu public license
  • gold standard
  • hypothesis
  • implementation
  • index
  • knowledge
  • language processing tasks
  • large corpora
  • latent semantic
  • lexical features
  • log-likelihood
  • log-likelihood ratio
  • mapping
  • maps
  • meaning
  • meanings
  • measures
  • mechanisms
  • methodology
  • mutual information
  • natural language
  • natural language processing tasks
  • ngram
  • ontology
  • pairs of words
  • pointwise mutual information
  • polysemy
  • precision
  • process
  • processing tasks
  • regular expressions
  • representations
  • second order context
  • semantic
  • semantic space
  • sentences
  • similarity matrix
  • similarity measures
  • statistics
  • svdpack
  • synonyms
  • synonymy
  • tags
  • target word
  • terms
  • test data
  • text
  • toolkit
  • training
  • training corpus
  • training data
  • tree
  • unigram
  • user
  • vector space
  • word
  • word level
  • word meaning
  • word sense
  • word senses
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***