ACL RD-TEC 1.0 Summarization of N04-4010

Paper Title:
USING N-BEST LISTS FOR NAMED ENTITY RECOGNITION FROM CHINESE SPEECH

Authors: Lufeng Zhai and Pascale Fung and Richard Schwartz and Marine Carpuat and Dekai Wu

Other assigned terms:

  • annotated corpora
  • annotation
  • approach
  • asr output
  • broadcast news
  • broadcast news data
  • byblos system
  • character error rate
  • chinese text
  • chinese text corpus
  • chinese words
  • confidence measure
  • corpora
  • distribution
  • duration
  • english speech
  • entropy
  • error rate
  • evaluation set
  • f-measure
  • feature
  • hmm model
  • hypotheses
  • hypothesis
  • implementation
  • language model
  • lattices
  • linguistics
  • maxent model
  • maximum entropy principle
  • measure
  • message
  • message understanding conference
  • method
  • named entities
  • named entity
  • named-entity
  • names
  • natural language
  • ner model
  • nist
  • normalization factor
  • part-of-speech
  • part-of-speech tag
  • part-of-speech tags
  • person names
  • pfr corpus
  • precision
  • probability
  • probability distribution
  • process
  • punctuation
  • recognition accuracy
  • recognition errors
  • recognition evaluation
  • sentence
  • sentences
  • silence
  • speech recognition accuracy
  • spoken language
  • syntactic patterns
  • tags
  • test data
  • text
  • text corpus
  • training
  • training data
  • understanding
  • uniform probability
  • utterance
  • vocabulary
  • word
  • word boundaries
  • word lattices
  • word-based model
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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