ACL RD-TEC 1.0 Summarization of P04-1033

Paper Title:
LEARNING WITH UNLABELED DATA FOR TEXT CATEGORIZATION USING A BOOTSTRAPPING AND A FEATURE PROJECTION TECHNIQUE

Authors: Youngjoong Ko and Jungyun Seo

Other assigned terms:

  • approach
  • categorization task
  • clusters
  • co-occurrence
  • co-occurrence frequency
  • co-occurrence information
  • content words
  • context similarity
  • context vectors
  • contextual information
  • data set
  • data sets
  • distribution
  • document
  • empirical results
  • feature
  • keyword
  • knowledge
  • kullback-leibler divergence
  • labeled training data
  • labeling
  • log-likelihood
  • maximum similarity
  • meaning
  • measure
  • method
  • normal distribution
  • normal distribution table
  • part of speech
  • probability
  • process
  • projection
  • relation
  • seed
  • semantic
  • semantic similarity
  • sentence
  • similarity between words
  • similarity matrix
  • similarity measure
  • similarity score
  • standard deviation
  • support vector
  • svms
  • technique
  • term
  • term frequency
  • terms
  • text
  • topics
  • training
  • training data
  • training documents
  • training examples
  • unlabeled examples
  • vocabulary
  • web pages
  • word
  • word similarity
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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