Machine Reading
AAAI 2007 Spring Symposium Series
Organizing Committee
Oren Etzioni (chair),
University of Washington; Ido Dagan, Bar-Ilan University; Ronen Feldman, Bar-Ilan University;
Noah Friedland, The Friedland Group, Inc.; Chris Manning, Stanford University; Tom Mitchell, Carnegie Mellon University;
Peter Norvig, Google; Dan Roth, University of Illinois at Urbana-Champaign
Call for Participation
Introduction: Topic and Goal
The time is ripe for the AI community to set its sights on Machine Reading---the
automatic, unsupervised understanding of text. Over the last two decades or so, Natural Language
Processing (NLP) has developed powerful methods for low-level syntactic and semantic text processing
tasks such as parsing, semantic role labeling, and text categorization. Over the same period, the
fields of machine learning and probabilistic reasoning have yielded important breakthroughs as well.
It is now time to investigate how to leverage these advances to understand text.
Call for Papers
We invite and encourage you to submit papers in this topic area.
Submission Requirements
Paper submissions should be 6 pages excluding references per
AAAI Press Author Instructions
and AAAI's January 2007 Conference Author Kit.
Please note the Conference Author Kit has recently changed, it contains important formatting instructions, author submission forms,
etc.
Simply email your submission (pdf or word) to
sss07@cs.washington.edu.
Feel free to direct questions or concerns to this email address as well.
Submission Deadline: October 6, 2006
- Dates: March 26-28, 2007
- Venue: Stanford University
- Organizers:
- Oren Etzioni, University of Washington, Chair
- Ido Dagan, Bar-Ilan University
- Ronen Feldman, Bar-Ilan University
- Noah Friedland, The Friedland Group, Inc.
- Chris Manning, Stanford University
- Tom Mitchell, Carnegie Mellon University
- Peter Norvig, Google
- Dan Roth, University of Illinois at Urbana-Champaign
Additional Information and Links