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Selected Bibliography on Using Joint Inference and Lifted Inference for Natural Language Understanding

  1. Andrew, Galen; Grenager, Trond; Manning, Christopher; “Verb Sense  and Subcategorization: Using Joint Inference to Improve Performance on Complementary Tasks” Conference on Empirical Methods in Natural Language Processing 2004
  2. BBN Machine Reading http://bbn.com/news_and_events/press_releases/2009_press_releases/pr_machine_tran
  3. Daumé, Hal; “Joint Inference is not Always Optimal” 2006
  4. Ellis, Joe; Wright, Jonathan; Griffitt, Kira;  Indacochea, Alonso; “Machine Reading (MR) Program MR KBP Training Annotation Guidelines” http://projects.ldc.upenn.edu/MR/ 2011
  5. Kiddon, Chloé; Domingos, Pedro; “Leveraging Ontologies for Lifted Probabilistic Inference and Learning” Workshops at the Twenty-Fourth AAAI Conference on Artificial Intelligence” 2010
  6. Machine reading” context  Working definion: Automac extracon of formal knowledge from natural language text  DARPA program, 2009–2012
  7. McCallum, Andrew; “Joint Inference for Natural Language Processing” Association for Computational Linguistics. Joint Inference for Natural Language Processing 2009
  8. Morgenstern, Leora “First-Order Axiomatization of the Surprise Birthday Present Problem: Preliminary Report” Proceedings of the Seventh International Symposium on Logical Formalizations of Commonsense Reasoning, 2005
  9. Naradow, Jason; Vieira, Ti; Smi, David A. “Grammarless Parsing for Joint Inference” Coling 2012
  10. Poon, Hoifung; Domingos Pedro “Joint Inference in Information Extraction” , Association for the Advancement of Artificial Intelligence 2007
  11. Poon, Hoifung; Vanderwende, Lucy; “Joint Inference for Knowledge Extraction from Biomedical Literature” Annual Conference of the North American Chapter of the Association for Computational Linguistics 2010
  12. Strassel, Stephanie; Adams, Dan; Goldberg, Henry; Herr, Jonathan; Keesing, Ron; Oblinger, Daniel; Simpson, Heather; Schrag, Robert; Wright, Jonathan; “The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading Tasks” LREC 2010.
 
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