ACL RD-TEC 1.0 Summarization of W02-0214

Paper Title:
TOPIC IDENTIFICATION IN NATURAL LANGUAGE DIALOGUES USING NEURAL NETWORKS

Authors: Krista Lagus and Jukka Kuusisto

Other assigned terms:

  • approach
  • association for computational linguistics
  • case
  • comprehension
  • computational complexity
  • concept
  • concepts
  • conceptual representation
  • content words
  • corpora
  • data set
  • data sets
  • database query
  • declarative sentence
  • dialogue context
  • dialogue strategy
  • dialogues
  • dimensionality
  • discourse
  • document
  • document collections
  • document vector
  • document vectors
  • entropy
  • error rate
  • estimation
  • function words
  • grammar
  • identification model
  • implementation
  • index
  • information sources
  • information structure
  • knowledge
  • labeling
  • language model
  • language models
  • large vocabulary speech
  • latent semantic
  • learning problem
  • likelihood
  • linguistics
  • main verb
  • maps
  • meaning
  • method
  • methodology
  • model parameter
  • model parameters
  • model structure
  • morpheme
  • morphological features
  • natural language
  • perplexity
  • precision
  • probabilistic model
  • probabilities
  • probability
  • probability model
  • projection
  • pronouns
  • prosodic information
  • query
  • recognition accuracy
  • response strategy
  • segments
  • semantic
  • semantic representation
  • semantic space
  • sentence
  • sentences
  • spoken language
  • statistical model
  • tagged corpora
  • tagging task
  • tags
  • term
  • terms
  • test data
  • test set
  • text
  • theories
  • topics
  • training
  • training and test data
  • training data
  • transcripts
  • turntaking
  • understanding
  • user
  • utterance
  • vector space
  • verb
  • vocabulary
  • weighting scheme
  • word
  • word error rate
  • word order
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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