ACL RD-TEC 1.0 Summarization of W06-1660

Paper Title:
EMPIRICAL STUDY ON THE PERFORMANCE STABILITY OF NAMED ENTITY RECOGNITION MODEL ACROSS DOMAINS

Authors: Hong Lei Guo and Li Zhang and Zhong Su

Other assigned terms:

  • annotated corpus
  • annotation
  • approach
  • association for computational linguistics
  • baseline performance
  • characters
  • chinese characters
  • chinese word
  • chinese words
  • classification problem
  • conditional probability
  • conditional probability model
  • confidence score
  • confidence scores
  • corpus size
  • data set
  • data sets
  • distribution
  • document
  • domain information
  • evaluations
  • events
  • experimental results
  • f-measure
  • feature
  • feature vector
  • fmeasure
  • language model
  • language processing applications
  • linguistic
  • linguistic features
  • linguistics
  • maps
  • measure
  • method
  • named entities
  • named entity
  • names
  • natural language
  • natural language processing applications
  • ner model
  • optimization problem
  • part of speech
  • precision
  • probability
  • probability model
  • process
  • recognition model
  • semantic
  • semantic features
  • semantic information
  • sentence
  • sentences
  • set size
  • standard deviation
  • statistic
  • statistical data
  • statistics
  • suffixes
  • tags
  • test data
  • test data set
  • text
  • tokens
  • training
  • training and test data
  • training data
  • training data set
  • training samples
  • training set
  • weight vector
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***