ACL RD-TEC 1.0 Summarization of W06-1655

Paper Title:
A HYBRID MARKOV/SEMI-MARKOV CONDITIONAL RANDOM FIELD FOR SEQUENCE SEGMENTATION

Other assigned terms:

  • affixes
  • approach
  • association for computational linguistics
  • baseline model
  • bias
  • bigram
  • cache
  • case
  • character sequence
  • characters
  • chinese word
  • chinese words
  • chunk
  • chunks
  • classification task
  • conditional probabilities
  • conditional probability
  • crf model
  • cubic time
  • development set
  • discriminative model
  • distribution
  • estimation
  • events
  • f-measure
  • fact
  • feature
  • feature set
  • feature sets
  • feature type
  • feature value
  • feature vector
  • feature vectors
  • generative model
  • generative models
  • knowledge
  • labeling
  • language model
  • likelihood
  • linguistics
  • log-linear model
  • log-linear models
  • logistic regression model
  • mapping
  • meaning
  • method
  • model parameters
  • named-entity
  • natural language
  • parse
  • probabilities
  • probability
  • punctuation
  • punctuation marks
  • regression model
  • relation
  • relative frequency
  • representations
  • segmentation bakeoff
  • segmentation problem
  • segments
  • sentence
  • sentences
  • sequence model
  • set size
  • statistics
  • suffix
  • technique
  • terms
  • test set
  • text
  • text classification task
  • tokens
  • training
  • training corpus
  • training data
  • training example
  • training examples
  • training set
  • training set size
  • translations
  • trees
  • unigram
  • weight vector
  • word
  • word boundaries
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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