ACL RD-TEC 1.0 Summarization of W03-1718

Paper Title:
SINGLE CHARACTER CHINESE NAMED ENTITY RECOGNITION

Authors: Xiaodan Zhu and Mu Li and Jianfeng Gao and Chang-Ning Huang

Other assigned terms:

  • abbreviation
  • ambiguity
  • annotators
  • approach
  • binary classification problem
  • case
  • characters
  • chinese sentence
  • chinese text
  • chinese word
  • chinese words
  • classification problem
  • classification task
  • coefficient
  • concept
  • concepts
  • conditional probability
  • context features
  • context model
  • context window
  • corpora
  • development set
  • dictionaries
  • dictionary
  • distribution
  • entropy
  • evaluation methodology
  • evaluation metrics
  • experimental results
  • f-score
  • feature
  • feature set
  • heuristic
  • heuristic rules
  • input string
  • japanese ne
  • knowledge
  • language model
  • large corpus
  • lattice
  • lexicon
  • linguistic
  • linguistic constraints
  • linguistic knowledge
  • linguists
  • local context
  • location name
  • log-linear model
  • maximum entropy principle
  • measure
  • message
  • message understanding conference
  • method
  • methodology
  • model probability
  • n-gram
  • n-gram models
  • name entity
  • named entities
  • named entity
  • names
  • normalization factor
  • person names
  • phrase
  • precision
  • probabilities
  • probability
  • probability distribution
  • procedure
  • recognition task
  • sentence
  • single character location
  • source-channel model
  • statistical models
  • statistics
  • substring
  • syntactic structure
  • tags
  • technique
  • technologies
  • term
  • terms
  • test corpus
  • test data
  • test set
  • text
  • time expressions
  • tokens
  • training
  • training corpus
  • training data
  • understanding
  • uniform distribution
  • vector space
  • window size
  • word
  • word classes
  • word definition
  • word segmentation performance
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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