ACL RD-TEC 1.0 Summarization of E06-1046

Paper Title:
EDIT MACHINES FOR ROBUST MULTIMODAL LANGUAGE PROCESSING

Authors: Srinivas Bangalore and Michael Johnston

Other assigned terms:

  • annotation
  • approach
  • attribute-value pairs
  • case
  • classification error
  • classification model
  • classifier model
  • composition
  • concept
  • concepts
  • conversational speech
  • dialog
  • dialog context
  • feature
  • formalism
  • frame
  • frame representation
  • gesture
  • grammar
  • grammars
  • heuristics
  • hypotheses
  • implementation
  • input string
  • interpretation
  • joint probability
  • language grammar
  • language model
  • language modeling toolkit
  • lattice
  • lattices
  • levenshtein distance
  • meaning
  • meanings
  • measure
  • measures
  • mechanisms
  • modeling toolkit
  • multimodal annotation
  • multimodal grammar
  • multimodal input
  • multimodal utterance
  • n-gram
  • n-gram model
  • name class
  • named entities
  • names
  • noisy channel
  • parsing approach
  • posterior
  • posterior probability
  • prepositions
  • probabilities
  • probability
  • process
  • recognition accuracy
  • recognition component
  • representations
  • semantic
  • semantic representation
  • semantic representations
  • sentence
  • size of the corpus
  • slot
  • speech recognition accuracy
  • spoken input
  • spoken language
  • substring
  • symbol
  • symbols
  • syntax
  • synthetic speech
  • system performance
  • tags
  • tagset
  • target string
  • technique
  • terminals
  • test data
  • toolkit
  • topology
  • trained model
  • training
  • training data
  • transformation
  • translation model
  • trigram
  • trigram language model
  • understanding
  • understanding component
  • understanding process
  • user
  • utterance
  • word
  • words
  • xml representation

Extracted Section Types:


This page last edited on 10 May 2017.

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