ACL RD-TEC 1.0 Summarization of W06-1671

Paper Title:
LEARNING FIELD COMPATIBILITIES TO EXTRACT DATABASE RECORDS FROM UNSTRUCTURED TEXT

Authors: Michael Wick and Aron Culotta and Andrew McCallum

Other assigned terms:

  • approach
  • association for computational linguistics
  • attribute type
  • binary feature
  • binary relation
  • binary relations
  • case
  • cluster
  • clusters
  • conditional distribution
  • dependency trees
  • distribution
  • document
  • edge weight
  • email
  • fact
  • feature
  • field compatibility
  • geometric mean
  • grammar
  • heuristic
  • heuristics
  • ie task
  • inter-cluster edge weight
  • knowledge
  • labeled training data
  • labeling
  • likelihood
  • linguistics
  • log-likelihood
  • logistic regression model
  • mapping
  • maps
  • maximum-entropy model
  • measure
  • measures
  • method
  • model parameters
  • named-entity
  • names
  • natural language
  • parse
  • positive and negative examples
  • precision
  • probabilistic grammar
  • probabilistic model
  • probabilities
  • process
  • regression model
  • regular expressions
  • relation
  • schema
  • sentence
  • sentences
  • string similarity
  • syntactic information
  • terms
  • text
  • tokens
  • training
  • training data
  • training examples
  • transitive closure
  • transitivity
  • trees
  • vector space
  • vertex
  • web documents
  • web pages

Extracted Section Types:


This page last edited on 10 May 2017.

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