ACL RD-TEC 1.0 Summarization of W05-0614

Paper Title:
INTENTIONAL CONTEXT IN SITUATED NATURAL LANGUAGE LEARNING

Authors: Michael Fleischman and Deb Roy

Other assigned terms:

  • alignment accuracy
  • alphabet
  • ambiguity
  • annotator
  • association for computational linguistics
  • case
  • coefficient
  • cognitive
  • cognitive model
  • computational framework
  • context free grammars
  • correlation
  • discourse
  • distribution
  • domain-specific knowledge
  • events
  • fact
  • frame
  • grammar
  • grammars
  • graphical representation
  • grounding
  • human annotator
  • human language learning
  • hypothesis
  • ibm model
  • intention
  • knowledge
  • language understanding task
  • language use
  • leaf
  • likelihood
  • linguistic
  • linguistic unit
  • linguistics
  • mapping
  • mappings
  • maps
  • maximum likelihood estimate
  • meaning
  • meanings
  • measure
  • measures
  • method
  • modeling language
  • modifier
  • natural language
  • noise
  • noisy channel
  • parallel corpus
  • parse
  • parse tree
  • parsing problem
  • pcfg
  • pcfgs
  • prior probability
  • probabilities
  • probability
  • procedure
  • process
  • production rules
  • representations
  • scalability
  • semantic
  • semantic frame
  • semantic roles
  • sentence
  • syntax
  • system performance
  • term
  • test data
  • testing data
  • training
  • training data
  • training set
  • tree
  • tree representation
  • tree structure
  • tree structures
  • trees
  • unconstrained speech
  • understanding
  • user
  • utterance
  • word
  • word alignment accuracy
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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