ACL RD-TEC 1.0 Summarization of P00-1061

Paper Title:
LEXICALIZED STOCHASTIC MODELING OF CONSTRAINT-BASED GRAMMARS USING LOG-LINEAR MEASURES AND EM TRAINING

Authors: Stefan Riezler and Detlef Prescher and Jonas Kuhn and Mark Johnson

Other assigned terms:

  • accusative preposition
  • adjunct
  • adjunct attachment
  • ambiguity
  • ambiguity rate
  • approach
  • attribute-value pairs
  • case
  • class-based grammar
  • clustering model
  • conditional probability
  • constraint-based grammar
  • convergence
  • corpora
  • disambiguation task
  • distribution
  • entropy
  • estimation
  • evaluation measures
  • exact match
  • experimental results
  • f-structure
  • fact
  • foreign language
  • frame
  • german newspaper text
  • grammar
  • grammar coverage
  • grammars
  • grammatical functions
  • grammatical relation
  • grammatical relations
  • head word
  • lexical ambiguity
  • likelihood
  • likelihood function
  • linguistic
  • linguistic environment
  • linguistic phenomena
  • local maxima
  • log-likelihood
  • log-linear model
  • log-linear models
  • main verb
  • measure
  • measures
  • method
  • natural language
  • newspaper corpus
  • nonterminal
  • parameter values
  • parse
  • pcfg
  • phrase
  • precision
  • preposition
  • probabilities
  • probability
  • probability distribution
  • procedure
  • process
  • recognition task
  • relation
  • search space
  • sentence
  • sentences
  • statistics
  • subcategorization frame
  • subcorpus
  • subtrees
  • terms
  • test corpora
  • test corpus
  • test data
  • text
  • theorem
  • training
  • training and test data
  • training corpus
  • training data
  • unrestricted newspaper text
  • verb
  • verb frame
  • verbal head
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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