ACL RD-TEC 1.0 Summarization of W99-0612

Paper Title:
LANGUAGE INDEPENDENT NAMED ENTITY RECOGNITION COMBINING MORPHOLOGICAL AND CONTEXTUAL EVIDENCE

Authors: Silviu Cucerzan and David Yarowsky

Other assigned terms:

  • affixes
  • ambiguity
  • annotated corpora
  • annotation
  • annotators
  • approach
  • backoff
  • baseline model
  • baseline performance
  • bias
  • case
  • characters
  • class distribution
  • class probability
  • classification accuracy
  • concept
  • conditional distribution
  • contextual information
  • convergence
  • corpora
  • cross-language analysis
  • data sets
  • data structure
  • data structures
  • discourse
  • distribution
  • distributional class
  • document
  • document collection
  • document length
  • entity class
  • entropy
  • estimation
  • evaluations
  • exact match
  • f-measure
  • fact
  • hindi
  • human annotation
  • human performance
  • implementation
  • information content
  • information sources
  • inheritance
  • interpolation
  • knowledge
  • labeling
  • linear combination
  • maximum entropy principle
  • meaning
  • measure
  • measures
  • method
  • morphological information
  • name class
  • named entities
  • named entity
  • named-entity
  • names
  • nouns
  • precision
  • prior probability
  • priori
  • probabilities
  • probability
  • probability distribution
  • probability distributions
  • procedure
  • process
  • pronoun
  • punctuation
  • representations
  • seed
  • seed words
  • sources of information
  • statistics
  • subtree
  • suffix
  • symbol
  • system performance
  • tags
  • terms
  • text
  • tokens
  • training
  • training data
  • training examples
  • training set
  • unannotated text
  • user
  • word
  • word boundaries
  • word level
  • word types
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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