ACL RD-TEC 1.0 Summarization of W06-0125

Paper Title:
CHINESE WORD SEGMENTATION AND NAMED ENTITY RECOGNITION BASED ON A CONTEXT-DEPENDENT MUTUAL INFORMATION INDEPENDENCE MODEL

Authors: Min Zhang and GuoDong Zhou and LingPeng Yang and DongHong Ji

Other assigned terms:

  • ambiguity
  • approach
  • association for computational linguistics
  • backoff
  • bigram
  • bigram model
  • biomedical domain
  • characters
  • chinese characters
  • chinese language
  • chinese text
  • chinese word
  • chunk
  • conditional probability
  • conditional probability model
  • context information
  • corpora
  • entity types
  • entropy
  • f-measure
  • fact
  • generation
  • genre
  • independence model
  • information independence
  • knowledge
  • linguistics
  • measure
  • measures
  • method
  • mutual information
  • mutual information independence
  • named entity
  • names
  • ngram
  • nouns
  • precision
  • probability
  • probability model
  • process
  • scalability
  • state transition model
  • stress
  • text
  • training
  • training corpus
  • unigram
  • unigram model
  • word
  • word bigram model
  • word boundaries
  • word formation
  • word formation pattern
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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