ACL RD-TEC 1.0 Summarization of N06-1038

Paper Title:
INTEGRATING PROBABILISTIC EXTRACTION MODELS AND DATA MINING TO DISCOVER RELATIONS AND PATTERNS IN TEXT

Authors: Aron Culotta and Andrew McCallum and Jonathan Betz

Other assigned terms:

  • ambiguity
  • ambiguous word
  • annotator
  • approach
  • background knowledge
  • case
  • conditional distribution
  • conditional probability
  • contextual features
  • distribution
  • document
  • encyclopedia
  • entropy
  • fact
  • feature
  • feature set
  • human annotator
  • implementation
  • inductive logic
  • inferences
  • knowledge
  • knowledge base
  • labeled training data
  • labeling
  • language processing tasks
  • length distribution
  • likelihood
  • likelihood function
  • log-linear combination
  • logic
  • measure
  • method
  • methodology
  • model parameter
  • namedentity
  • names
  • natural language
  • noise
  • normalization factor
  • opinions
  • paragraphs
  • part-of-speech
  • precision
  • priori
  • probabilistic model
  • probability
  • procedure
  • processing tasks
  • queries
  • recognition phase
  • relation
  • semantic
  • sentence
  • sentences
  • sequence model
  • signal
  • syntactic information
  • system performance
  • technique
  • technology
  • test set
  • testing set
  • text
  • training
  • training data
  • training database
  • training set
  • user
  • verb
  • wikipedia
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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