ACL RD-TEC 1.0 Summarization of W04-3230

Paper Title:
APPLYING CONDITIONAL RANDOM FIELDS TO JAPANESE MORPHOLOGICAL ANALYSIS

Authors: Taku Kudo and Kaoru Yamamoto and Yuji Matsumoto

Other assigned terms:

  • abbreviation
  • ambiguity
  • annotated corpora
  • approach
  • auxiliary verb
  • bias
  • boundary ambiguity
  • characters
  • chinese characters
  • chinese word
  • community
  • conditional probability
  • conjugation form
  • corpora
  • data set
  • data sets
  • data sparseness
  • data sparseness problem
  • disk
  • distribution
  • english part-of-speech
  • entropy
  • entropy models
  • estimation
  • experimental results
  • exponential model
  • feature
  • feature vector
  • gaussian prior
  • hierarchical structure
  • implementation
  • independence assumption
  • index
  • joint probability
  • katakana
  • knowledge
  • kyoto university corpus
  • labeling
  • lattice
  • lexicon
  • likelihood
  • log-likelihood
  • markov models
  • maximum entropy models
  • method
  • n-gram
  • named entity
  • names
  • optimization problem
  • part-of-speech
  • part-ofspeech
  • particle
  • penn treebank
  • probabilities
  • probability
  • process
  • proper noun
  • rwcp text corpus
  • sentence
  • sentences
  • sparseness problem
  • statistics
  • suffixes
  • svms
  • tags
  • tagset
  • text
  • text corpus
  • tokens
  • training
  • training data
  • training set
  • transition probabilities
  • transition probability
  • tree
  • treebank
  • trigram
  • verb
  • word
  • word boundaries
  • word boundary
  • word boundary ambiguity
  • word level
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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