ACL RD-TEC 1.0 Summarization of P06-2097

Paper Title:
UNSUPERVISED TOPIC IDENTIFICATION BY INTEGRATING LINGUISTIC AND VISUAL INFORMATION BASED ON HIDDEN MARKOV MODELS

Authors: Tomohide Shibata and Sadao Kurohashi

Other assigned terms:

  • adjective
  • anaphora
  • annotation
  • annotation technique
  • association for computational linguistics
  • bigram
  • case
  • case frame
  • characters
  • clusters
  • co-occurrence
  • cohesion
  • cue phrase
  • cue phrases
  • discourse
  • distribution
  • domain-specific knowledge
  • duration
  • estimation
  • fact
  • feature
  • frame
  • knowledge
  • language model
  • lexical chains
  • lexical co-occurrence
  • lexical cohesion
  • linguistic
  • linguistic expressions
  • linguistic features
  • linguistic information
  • linguistics
  • manual annotation
  • markov models
  • method
  • modality
  • multi-party speech
  • natural language
  • noise
  • nouns
  • phrase
  • pitch
  • portability
  • probabilistic framework
  • probabilities
  • probability
  • procedure
  • process
  • rhetorical structure
  • rhetorical structure theory
  • segments
  • sentence
  • sentence similarity
  • sentences
  • silence
  • speaker change
  • spoken language
  • state-specific language model
  • statistical framework
  • surface form
  • symbol
  • technique
  • technology
  • text
  • theory
  • topic shift
  • topics
  • trained model
  • training
  • transition probability
  • utterance
  • verb
  • verb sense
  • visual information
  • word
  • word distribution
  • word sense

Extracted Section Types:


This page last edited on 10 May 2017.

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