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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Ontology Learning from Text Using Automatic Ontological-Semantic Text Annotation and the Web as the Corpus
Jesse English, Sergein Nirenburg
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Answering and Questioning for Machine Reading
Lucy Vanderwende
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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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Machine Reading through Textual and Knowledge Entailment
Andrew Hickl, Sanda Harabagiu
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Beginning to Understand Unstructured, Ungrammatical Text: An Information Integration Approach
Matthew Michelson, Craig A. Knoblock
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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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COALA: A Tool for Inter-document Coreference Resolution Evaluation
Bradley Andrews, James Fan, J. William Murdock, Chris Welty
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Machine Reading
Oren Etzioni, Michele Banko, Michael J. Cafarella.
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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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Reading to Learn: An Investigation into Language Understanding
Peter Clark, Phil Harrison, John Thompson, Rick Wojcik, Tom Jenkins, David Israel
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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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Organizing Committee
Oren Etzioni
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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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Building Knowledge Base for Reading from Encyclopedia
Ka Kan Lo, Wai Lam
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Moving from Textual Relations to Ontologized Relations
Stephen Soderland, Bhushan Mandhani
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Inference In Text Understanding
Peter Norvig
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