Machine Reading

Contents

• A Prototype System that Learns by Reading Simplified Texts

  Kenneth Forbus, Christopher Riesbeck, Lawrence Birnbaum, Kevin Livingston, Abhishek Sharma, Leo Ureel

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• Robust Graph Alignment Methods for Textual Inference and Machine Reading

  Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel Cer, Daniel Ramage, Chloe Kiddon, Christopher D. Manning

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• Inference In Text Understanding

  Peter Norvig

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• Moving from Textual Relations to Ontologized Relations

  Stephen Soderland, Bhushan Mandhani

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• Building Knowledge Base for Reading from Encyclopedia

  Ka Kan Lo, Wai Lam

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• Machine Reading as a Cognitive Science Research Instrument

  Kenneth Forbus, Kate Lockwood, Emmett Tomai, Morteza Dehghani, Jakub Czyz

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• Organizing Committee

  Oren Etzioni

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• Semantic Integration in Learning from Text

  Steven Bethard, Rodney Nielsen, James H. Martin, Wayne Ward, Martha Palmer

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• Reading to Learn: An Investigation into Language Understanding

  Peter Clark, Phil Harrison, John Thompson, Rick Wojcik, Tom Jenkins, David Israel

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• Ontology Learning from Text Using Automatic Ontological-Semantic Text Annotation and the Web as the Corpus

  Jesse English, Sergein Nirenburg

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• Machine Reading

  Oren Etzioni, Michele Banko, Michael J. Cafarella.

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• COALA: A Tool for Inter-document Coreference Resolution Evaluation

  Bradley Andrews, James Fan, J. William Murdock, Chris Welty

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• Using Episodic Memory in a Memory Based Parser to Assist Machine Reading

  Kevin Livingston, Christopher K. Riesbeck

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• Beginning to Understand Unstructured, Ungrammatical Text: An Information Integration Approach

  Matthew Michelson, Craig A. Knoblock

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• Machine Reading through Textual and Knowledge Entailment

  Andrew Hickl, Sanda Harabagiu

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• Reporting On Some Logic-Based Machine Reading Research

  Selmer Bringsjord, Konstantine Arkoudas, Micah Clark, Andrew Shilliday, Joshua Taylor, Bettina Schimanski, Yingrui Yang

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• Answering and Questioning for Machine Reading

  Lucy Vanderwende

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