ACL RD-TEC 1.0 Summarization of C02-1151

Paper Title:
PROBABILISTIC REASONING FOR ENTITY & RELATION RECOGNITION

Authors: Dan Roth and Wen-tau Yih

Other assigned terms:

  • acyclic graph
  • approach
  • bigram
  • binary relations
  • case
  • classification problem
  • classification task
  • community
  • comprehension
  • computational approach
  • concept
  • conditional distribution
  • conditional probabilities
  • conditional probability
  • distribution
  • entity class
  • entity types
  • estimation
  • experimental results
  • fact
  • feature
  • feature space
  • graphical representation
  • inference approach
  • inference model
  • inferences
  • joint probability
  • joint probability distribution
  • labeling
  • learning problem
  • linear time
  • matlab
  • method
  • named entity
  • names
  • network structure
  • nlp tasks
  • noisy channel
  • nouns
  • part-of-speech
  • phrase
  • posterior
  • precision
  • predicates
  • probabilistic framework
  • probabilistic models
  • probabilities
  • probability
  • probability distribution
  • procedure
  • process
  • relation
  • semantic
  • semantic types
  • sentence
  • sentences
  • suffix
  • syntactic structures
  • syntax
  • tags
  • terms
  • text
  • text corpus
  • training
  • training data
  • training dataset
  • trigram
  • word
  • wordnet
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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