ACL RD-TEC 1.0 Summarization of E06-1014

Paper Title:
IMPROVING PROBABILISTIC LATENT SEMANTIC ANALYSIS WITH PRINCIPAL COMPONENT ANALYSIS

Authors: Ayman Farahat and Francine Chen

Other assigned terms:

  • approach
  • case
  • cluster
  • clusters
  • co-occurrence
  • co-occurrence matrix
  • corpora
  • correlation
  • cosine distance
  • data set
  • dimensionality
  • distribution
  • document
  • document collection
  • document collections
  • document vectors
  • entropy
  • error rate
  • estimation
  • evaluations
  • exponential distribution
  • external knowledge
  • frequency counts
  • implementation
  • index
  • index terms
  • interpretation
  • joint probability
  • knowledge
  • kullback-leibler divergence
  • latent class
  • latent semantic
  • latent semantic space
  • likelihood
  • likelihood function
  • mapping
  • measure
  • method
  • model parameters
  • model performance
  • noise
  • norm
  • pair similarity
  • polysemy
  • precision
  • probabilities
  • probability
  • probability distribution
  • probability distributions
  • probability model
  • queries
  • query
  • relation
  • representations
  • running time
  • segment boundaries
  • semantic
  • semantic space
  • senses of a word
  • sentence
  • sentence level
  • sentences
  • similarity measure
  • similarity scores
  • statistics
  • stem
  • synonyms
  • synonymy
  • system description
  • technology
  • term
  • term-document matrix
  • terms
  • test data
  • text
  • text similarity
  • trained model
  • training
  • vector space
  • word
  • word count
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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