ACL RD-TEC 1.0 Summarization of W97-0312

Paper Title:
LEARNING TO TAG MULTILINGUAL TEXTS THROUGH OBSERVATION

Authors: Scott W. Bennett and Chinatsu Aone

Other assigned terms:

  • acronym
  • annotation
  • approach
  • background knowledge
  • bias
  • case
  • classification accuracy
  • classification problem
  • client\/server architecture
  • concept
  • contextual information
  • data structures
  • distance score
  • document
  • end-user
  • experimental results
  • f-measure
  • feature
  • feature vector
  • feature vectors
  • generation
  • interactivity
  • knowledge
  • knowledge base
  • leaf
  • lexical feature
  • lexical features
  • lexicon
  • likelihood
  • logic
  • manual annotation
  • markov models
  • matching process
  • meaning
  • measure
  • measures
  • message
  • message understanding conference
  • multilingual information
  • multilingual text
  • named entity
  • named entity task
  • names
  • nouns
  • parameter settings
  • person names
  • positive and negative examples
  • precision
  • preprocessor
  • procedure
  • process
  • proper name
  • proper names
  • proper noun
  • rule sequence
  • rule sets
  • scripting language
  • server
  • standard deviation
  • statistics
  • tagged text
  • tagging accuracy
  • tagging performance
  • tagging task
  • tags
  • target language
  • technique
  • terms
  • test set
  • text
  • tokens
  • training
  • training data
  • training examples
  • training set
  • training text
  • tree
  • trees
  • understanding
  • user
  • wall street journal corpus
  • word
  • word lists
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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