ACL RD-TEC 1.0 Summarization of W97-0123

Paper Title:
MAXIMUM ENTROPY MODEL LEARNING OF SUBCATEGORIZATION PREFERENCE

Authors: Takehito Utsuro and Takashi Miyata

Other assigned terms:

  • ambiguity
  • approach
  • bracketed corpus
  • case
  • case frame
  • case-marker
  • collocation
  • concepts
  • conditional distribution
  • conditional probabilities
  • conditional probability
  • conditional probability distribution
  • culture
  • data set
  • data structure
  • declarative representation
  • disambiguation task
  • distribution
  • edr corpus
  • entropy
  • estimation
  • evaluation task
  • events
  • feature
  • feature set
  • feature structure
  • finite set
  • formal description
  • frame
  • generation
  • generation model
  • heuristics
  • implementation
  • knowledge
  • leaf
  • lexicon
  • likelihood
  • linguistic
  • linguistic knowledge
  • maximum entropy principle
  • measure
  • method
  • nouns
  • parameter values
  • parse
  • parse tree
  • parsing models
  • particle
  • particles
  • phrase
  • precision
  • probabilistic model
  • probabilistic models
  • probabilities
  • probability
  • probability distribution
  • probability distributions
  • procedure
  • process
  • relation
  • right-hand side
  • root node
  • semantic
  • semantic categories
  • semantic class
  • semantic classes
  • sentence
  • sentences
  • stochastic model
  • subcategorisation
  • subcategorisation frame
  • subcategorization frame
  • subcategorization frames
  • subcategorization preference
  • subordinate clause
  • subsumption
  • subsumption relation
  • technique
  • technology
  • terms
  • test corpus
  • test data
  • test set
  • thesaurus
  • training
  • training corpus
  • training data
  • training data set
  • training sample ~
  • training set
  • tree
  • trees
  • type hierarchy
  • uniform distribution
  • verb
  • word
  • word sequence
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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