ACL RD-TEC 1.0 Summarization of W98-1118

Paper Title:
EXPLOITING DIVERSE KNOWLEDGE SOURCES VIA MAXIMUM ENTROPY IN NAMED ENTITY RECOGNITION

Authors: Andrew Borthwick and John Sterling and Eugene Agichtein and Ralph Grishman

Other assigned terms:

  • annotators
  • approach
  • bigram
  • bigram language model
  • binary feature
  • binary features
  • break
  • case
  • conditional probabilities
  • conditional probability
  • corpora
  • dictionaries
  • dictionary
  • english text
  • entropy
  • entropy formulation
  • entropy models
  • estimation
  • external knowledge
  • external knowledge source
  • f-measure
  • fact
  • feature
  • heuristic
  • human intervention
  • human performance
  • hypothesis
  • index
  • information sources
  • japanese ne
  • joint probability
  • knowledge
  • language model
  • lattice
  • lexical context
  • lexical feature
  • lexical features
  • linguistic
  • linguistic intuition
  • linguistics
  • maximum entropy models
  • measures
  • method
  • model size
  • named entities
  • named entity
  • named-entity
  • names
  • organization names
  • pairs of words
  • part-of-speech
  • phrase
  • portability
  • probabilities
  • probability
  • procedure
  • process
  • proper name
  • query
  • run-time
  • run-time performance
  • sentences
  • suffixes
  • system architecture
  • system performance
  • tags
  • technique
  • technology
  • term
  • terms
  • test corpora
  • test corpus
  • test data
  • test set
  • text
  • theory
  • tokens
  • toolkit
  • training
  • training corpora
  • training corpus
  • training data
  • training material
  • user
  • vocabulary
  • word
  • words
  • wrapper

Extracted Section Types:


This page last edited on 10 May 2017.

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