ACL RD-TEC 1.0 Summarization of P05-1012

Paper Title:
ONLINE LARGE-MARGIN TRAINING OF DEPENDENCY PARSERS

Authors: Ryan McDonald and Koby Crammer and Fernando Pereira

Other assigned terms:

  • approach
  • bias
  • binary feature
  • binary features
  • case
  • characters
  • classification problem
  • computational complexity
  • convergence
  • cpu time
  • data set
  • dependency structures
  • dependency tree
  • dependency trees
  • document
  • dutch
  • english dependency
  • entropy
  • events
  • f-measure
  • fact
  • feature
  • feature set
  • feature weights
  • forest
  • generative model
  • generative models
  • gold standard
  • grammar
  • grammars
  • grammatical function
  • heuristic
  • heuristics
  • interpretation
  • joint probability
  • learning model
  • likelihood
  • local constraints
  • local context
  • method
  • multi-class classification problem
  • namedentity
  • norm
  • nouns
  • paraphrase
  • parse
  • parser output
  • parsing model
  • parsing models
  • parsing problem
  • part-of-speech
  • part-of-speech tags
  • penn treebank
  • phrase
  • phrase structure
  • probability
  • probability estimates
  • queries
  • relation
  • run-time
  • runtime
  • selection accuracy
  • semantic
  • semantic types
  • sentence
  • sentences
  • support vector
  • syntactic representation
  • system description
  • tags
  • terms
  • testing data
  • training
  • training corpus
  • training criterion
  • training data
  • training instance
  • training set
  • training time
  • tree
  • treebank
  • trees
  • trigram
  • verb
  • weight vector
  • word
  • word order
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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