Schedule
AAAI 2007 Spring Symposium Series
Machine Reading
Monday, March 26 Title / Speaker(s) & Affiliation(s)                      
9:00 am - 10:30 am Machine Reading and Open Information Extraction
     Oren Etzioni, University of Washington, Chair
10:30 am - 11:00 am                Break
11:00 am - 12:30 pm Textual entailment as a framework for applied semantic inference
     Ido Dagan, Bar Ilan University, PASCAL invited speaker
12:30 pm - 2:00 pm                Lunch
2:00 pm - 3:30 pm Textual Entailment and Ontologies:
     Robust Graph Alignment Methods for Textual Inference and Machine Reading
          Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel Cer, Daniel Ramage, Chlo Kiddon, Christopher D. Manning, Stanford University
     Machine Reading through Textual and Knowledge Entailment
          Andrew Hickl and Sanda Harabagiu, Language Computer Corporation
     Moving from Textual Relations to Ontologized Relations
          Stephen Soderland and Bhushan Mandhani, University of Washington
     Ontology Learning from Text Using Automatic Ontological-Semantic Text Annotation and the Web as the Corpus
          Jesse English and Sergei Nirenburg, University of Maryland, Baltimore County
3:30 pm - 4:00 pm                Break
4:00 pm - 5:30 pm Entities and Relations:
     Beginning to Understand Unstructured, Ungrammatical Text: An Information Integration Approach
          Matthew Michelson and Craig A. Knoblock, University of Southern California
     Building Knowledge Base for Reading from Encyclopedia
          Ka Kan Lo and Wai Lam, The Chinese University of Hong Kong
     COALA: A Tool for Inter-document Coreference Resolution Evaluation
          Bradley M. Andrews, University of California, Berkley, and
          James Fan, J. William Murdock, Chris Welty, IBM Watson Research Center
     Semantic Integration in Learning from Text
          Steven Bethard, Rodney Nielsen, James H. Martin, Wayne Ward, University of Colorado at Boulder
6:00 pm - 7:00 pm                Reception
Tuesday, March 27 Title / Speaker(s) & Affiliation(s)                      
9:00 am - 10:30 am Project Möbius: Learning by Reading
     Noah Friedland, The Friedland Group, Inc.
10:30 am - 11:00 am                Break
11:00 am - 11:45 am Building Models by Reading Texts
     Ken Barker, University of Texas at Austin
11:45 am - 12:30 pm Bootstrap Learning Many Named Entity Extractors from the Web
     Tom Mitchell, Carnegie Mellon University
12:30 pm - 2:00 pm                Lunch
2:00 pm - 3:30 pm Break Out Discussion Groups
3:30 pm - 4:00 pm                Break
4:00 pm - 5:30 pm Simplified or Controlled Language:
     Reading to Learn: An Investigation into Language Understanding
          Peter Clark, Phil Harrison, John Thompson, Rick Wojcik, Tom Jenkins, Boeing Phantom Works, and
          David Israel, SRI International
     Reporting On Some Logic-Based Machine Reading Research
          Selmer Bringsjord, Konstantine Arkoudas, Micah Clark, Andrew Shilliday, Joshua Taylor, Bettina Schimanski, Yingrui Yang, Rensselaer Polytechnic Institute
     Using Episodic Memory in a Memory Based Parser to Assist Machine Reading
          Kevin Livingston and Christopher K. Riesbeck, Northwestern University
     A Prototype System that Learns by Reading Simplified Texts
          Kenneth D. Forbus, Christopher Riesbeck, Lawrence Birnbaum, Kevin Livingston, Abhishek Sharma, Leo Ureel, Northwestern University
6:00 pm - 7:30 pm                Plenary Session
Wednesday, March 28 Title / Speaker(s) & Affiliation(s)                      
9:00 am - 10:30 am Evaluation and Cognitive Science:
     Answering and Questioning for Machine Reading
          Lucy Vanderwende, Microsoft Research
     Machine Reading as a Cognitive Science Research Instrument
          Kenneth D. Forbus, Kate Lockwood, Emmett Tomai, Morteza Dehghani, Jakub Czyz, Northwestern University
     Deep Parsing and Semantic Extraction for Natural Language Search
          Gian Lorenzo Thione, Powerset
10:30 am - 11:00 am                Break
11:00 am - 12:30 pm Directions and Future Work