ACL RD-TEC 1.0 Summarization of N04-2003

Paper Title:
MAXIMUM ENTROPY MODELING IN SPARSE SEMANTIC TAGGING

Authors: Jia Cui and David Guthrie

Other assigned terms:

  • ambiguous word
  • ambiguous words
  • annotators
  • approach
  • array
  • binary feature
  • break
  • classification error
  • classification error rate
  • classification tasks
  • cluster
  • clusters
  • concept
  • convergence
  • corpora
  • data set
  • data sparseness
  • data sparseness problem
  • data sparsity
  • derivation
  • dictionary
  • distribution
  • entropy
  • error rate
  • estimation
  • exact match
  • experimental results
  • feature
  • feature selection criterion
  • feature set
  • heuristic
  • heuristics
  • hierarchical structure
  • histogram
  • human annotators
  • index
  • inter-annotator agreement
  • knowledge
  • likelihood
  • linear combination
  • log-linear model
  • maxent model
  • method
  • mutual information
  • named entity
  • names
  • natural language
  • nouns
  • opinions
  • probability
  • procedure
  • process
  • semantic
  • semantic categories
  • semantic category
  • semantic label
  • set size
  • sparse data
  • sparseness problem
  • statistical information
  • statistics
  • tags
  • topics
  • training
  • training corpus
  • training data
  • word
  • word sense
  • wordnet
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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