ACL RD-TEC 1.0 Summarization of P06-1004

Paper Title:
MINIMUM CUT MODEL FOR SPOKEN LECTURE SEGMENTATION

Authors: Igor Malioutov and Regina Barzilay

Other assigned terms:

  • annotation
  • annotator
  • annotators
  • approach
  • association for computational linguistics
  • benchmark
  • bias
  • brown corpus
  • case
  • chunk
  • chunks
  • coherence
  • cohesion
  • concept
  • corpora
  • cosine similarity
  • data sets
  • development set
  • device
  • discourse
  • distribution
  • error rate
  • estimation
  • evaluation metric
  • evaluation metrics
  • experimental results
  • fact
  • feature
  • feature vector
  • generation
  • human judgments
  • human performance
  • hypothesis
  • implementation
  • intelligence
  • intra-partition node similarity
  • language model
  • lexical relations
  • linguistic
  • linguistic framework
  • linguistics
  • local dependency
  • measure
  • measures
  • method
  • model parameters
  • node similarity
  • normalization factor
  • normalized cut criterion
  • opinions
  • parameter settings
  • polynomial time
  • precision
  • probability
  • probability estimates
  • procedure
  • process
  • recognition errors
  • relation
  • scoring scheme
  • search procedure
  • segment boundaries
  • segment boundary
  • segmentation accuracy
  • segments
  • semantic
  • semantic content
  • sentence
  • sentence boundary
  • sentences
  • signal
  • similarity function
  • similarity metric
  • similarity scores
  • speech recognition errors
  • spoken language
  • statistics
  • stem
  • style
  • support vector
  • teaching
  • technology
  • term
  • terms
  • text
  • thematic cohesion
  • time complexity
  • toolkit
  • topics
  • topology
  • transcript
  • transcriptions
  • transcripts
  • understanding
  • word
  • word error rate
  • word repetition
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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