ACL RD-TEC 1.0 Summarization of P06-1105

Paper Title:
JAPANESE DEPENDENCY PARSING USING CO-OCCURRENCE INFORMATION AND A COMBINATION OF CASE ELEMENTS

Authors: Takeshi Abekawa and Manabu Okumura

Other assigned terms:

  • adjective
  • anaphora
  • approach
  • association for computational linguistics
  • bias
  • bunsetsu
  • bunsetsus
  • case
  • case particle
  • co-occurrence
  • co-occurrence information
  • conditional probability
  • content words
  • context model
  • contextual information
  • corpora
  • data set
  • dependency information
  • dependency relation
  • dependency relations
  • dependency structure
  • estimation
  • evaluation data
  • experimental results
  • feature
  • frame
  • frame element
  • function words
  • generation
  • generative model
  • hypothesis
  • inflection
  • japanese dependency
  • japanese dependency structure
  • japanese language
  • labeling
  • latent semantic
  • learning model
  • lexical association
  • lexical information
  • likelihood
  • linguistics
  • main verb
  • method
  • modifier
  • morphemes
  • nouns
  • null hypothesis
  • ordered list
  • parse
  • parse tree
  • parsed corpus
  • parsing accuracy
  • parsing models
  • particle
  • particles
  • parts of speech
  • pcfg
  • posterior
  • posterior context model
  • probabilities
  • probability
  • process
  • punctuation
  • relation
  • relative clause
  • role labeling
  • segments
  • semantic
  • semantic class
  • semantic role
  • sentence
  • sentences
  • statistical information
  • statistical model
  • statistical models
  • statistics
  • suffix
  • syntactic constraint
  • syntactic function
  • syntactic information
  • syntactic preference
  • syntactic properties
  • syntax
  • tagged corpus
  • technology
  • terms
  • test data
  • training
  • training corpus
  • training data
  • training data set
  • transformation
  • tree
  • verb
  • word
  • word order
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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