ACL RD-TEC 1.0 Summarization of W04-0705

Paper Title:
APPLYING COREFERENCE TO IMPROVE NAME RECOGNITION

Authors: Heng Ji and Ralph Grishman

Other assigned terms:

  • abbreviation
  • abbreviations
  • approach
  • backoff
  • cache
  • chinese text
  • cluster
  • clusters
  • computational linguistics corpus
  • confidence measure
  • context feature
  • context words
  • coreference information
  • cross-document coreference
  • data consortium
  • distribution
  • document
  • entropy
  • evaluations
  • experimental results
  • f score
  • f-measure
  • feature
  • feature vector
  • hypotheses
  • labeled training data
  • language model
  • lattice
  • linguistic
  • linguistic data
  • linguistic data consortium
  • linguistic intuition
  • linguistics
  • local context
  • markov models
  • measure
  • measures
  • method
  • modifier
  • name-name coreference
  • named entity
  • names
  • nominals
  • noun phrase
  • noun phrases
  • organization names
  • performance comparison
  • phrase
  • precision
  • prefixes and suffixes
  • probability
  • process
  • pronoun
  • pronouns
  • proper name
  • query
  • relation
  • scoring metric
  • semantic
  • semantic categories
  • semantic type
  • statistical model
  • substring
  • suffixes
  • support vector
  • svms
  • system response
  • tags
  • term
  • test corpus
  • test data
  • test set
  • text
  • tokens
  • training
  • training and test data
  • training corpus
  • training data
  • trees
  • trigram
  • trigram model
  • user
  • user query
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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