ACL RD-TEC 1.0 Summarization of W97-0306

Paper Title:
MISTAKE-DRIVEN LEARNING IN TEXT CATEGORIZATION

Authors: Ido Dagan and Yael Karov and Dan Roth

Other assigned terms:

  • approach
  • case
  • categorization task
  • classification task
  • coefficient
  • concepts
  • convergence
  • correlation
  • data set
  • data sets
  • dimensionality
  • document
  • document length
  • document vector
  • estimation
  • evaluations
  • experimental results
  • feature
  • feature set
  • feature space
  • feature weights
  • hypothesis
  • implementation
  • interpolation
  • learning model
  • learning problem
  • lemma
  • likelihood
  • mapping
  • measure
  • measures
  • method
  • methodology
  • n-grams
  • natural language
  • noise
  • nonlinear similarity measure
  • normalization factor
  • nouns
  • parameter settings
  • precision
  • process
  • reuters corpus
  • similarity measure
  • supervised learning problem
  • term
  • terms
  • test collection
  • test data
  • test phase
  • test set
  • text
  • text collection
  • text documents
  • theorem
  • training
  • training data
  • training document
  • training documents
  • training examples
  • training phase
  • training set
  • training text
  • tree
  • unigram
  • vector space
  • weight vector
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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