ACL RD-TEC 1.0 Summarization of C02-1101

Paper Title:
DETECTING ERRORS IN CORPORA USING SUPPORT VECTOR MACHINES

Authors: Tetsuji Nakagawa and Yuji Matsumoto

Other assigned terms:

  • annotated corpora
  • annotated corpus
  • annotation
  • annotators
  • approach
  • bigram
  • case
  • corpora
  • corpus-based research
  • distribution
  • events
  • feature
  • feature vector
  • inflection
  • kernel function
  • kyoto university corpus
  • language processing tasks
  • learning model
  • learning problem
  • likelihood
  • method
  • morpheme
  • morphemes
  • n-gram
  • natural language
  • natural language processing tasks
  • part-of-speech
  • penn treebank
  • pos bigram
  • pos tag
  • positive and negative examples
  • pp attachment
  • precision
  • probabilistic approach
  • probabilities
  • processing tasks
  • sentence
  • sentences
  • statistical information
  • stochastic model
  • support vector
  • svm model
  • svms
  • tagged corpus
  • tags
  • tokens
  • training
  • training data
  • training example
  • training examples
  • treebank
  • treebank wsj corpus
  • trigram
  • usability
  • word
  • words
  • wsj corpus

Extracted Section Types:


This page last edited on 10 May 2017.

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