Bill MacCartney
Doctoral Candidate
Natural Language Processing Group
Stanford Artificial Intelligence Laboratory
Computer Science Department
Stanford University
papers
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talks
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downloads
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resume
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personal
I'm a Ph.D. student in the Computer
Science Department at Stanford
University. I work with Prof. Chris Manning and
the NLP research group. I'm
primarily interested in probabilistic approaches to computational
semantics and the problem of natural language inference.
I also volunteer as a tutor in physics and calculus at the Eastside School in East Palo Alto.
Papers
Natural logic for textual inference
[pdf]
Bill MacCartney and Christopher D. Manning
ACL Workshop on Textual Entailment and Paraphrasing, Prague, June 2007
Learning Alignments and Leveraging Natural Logic
[pdf]
Nathanael Chambers, Daniel Cer, Trond Grenager, David Hall, Chloe Kiddon,
Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh and
Christopher D. Manning
ACL Workshop on Textual Entailment and Paraphrasing, Prague, June 2007
Aligning semantic graphs for textual inference and machine reading
[pdf]
Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel Cer,
Daniel Ramage, Chloé Kiddon, Christopher D. Manning
AAAI Spring Symposium at Stanford, 2007
Learning to recognize features of valid textual entailments
[pdf]
Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe,
Daniel Cer, Christopher D. Manning
Proceedings of the Human Language Technology Conference of the North
American Chapter of the Association for Computational Linguistics
(HLT-NAACL 2006)
Generating Typed Dependency Parses from Phrase Structure Parses
[pdf]
Marie-Catherine de Marneffe, Bill MacCartney, Christopher D. Manning
5th International Conference on Language Resources and Evaluation (LREC 2006)
Learning to distinguish valid textual entailments
[pdf]
Marie-Catherine de Marneffe, Bill MacCartney, Trond Grenager, Daniel
Cer, Anna Rafferty, and Christopher D. Manning
Second Pascal RTE Challenge Workshop, 2006
Robust Textual Inference using Diverse Knowledge Sources
[pdf]
Rajat Raina, Aria Haghighi, Christopher Cox, Jenny Finkel, Jeff
Michels, Kristina Toutanova, Bill MacCartney, Marie-Catherine de
Marneffe, Christopher D. Manning, Andrew Y. Ng
Proceedings of the First PASCAL Challenges Workshop, 2005
Solving Logic Puzzles: From Robust Processing to Precise Semantics
[pdf]
Iddo Lev, Bill MacCartney, Christopher D. Manning, Roger Levy
Proceedings of the ACL-04 Workshop on Text Meaning and Interpretation,
July 2004
Practical Partition-Based Theorem Proving for Large Knowledge Bases
[pdf,
ps]
Bill MacCartney, Sheila A. McIlraith, Eyal Amir, Tomas Uribe
Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03), August 2003
The Cycic Friends Network: Getting Cyc agents to reason together
[pdf,
ps]
James Mayfield, Tim Finin, Rajkumar Narayanaswamy, Chetan
Shah, William MacCartney & Keith Goolsbey
Proceedings of the ACM CIKM-95 Intelligent Information Agents
Workshop, December 1995
Invited Talks
Two Related Approaches to the Problem of Textual Inference
[ppt,
ppt]
Columbia University, New York, 6 March 2008
Containment, Exclusion, and Implicativity: A Model of Natural Logic for Textual Inference
[ppt]
Saarland University, Saarbruecken, Germany, 14 February 2008
Practical Partition-Based Theorem Proving for Large Knowledge Bases
[ppt]
University of California at San Diego, 3 February 2003
Other Presentations
Natural logic for textual inference
[ppt]
Bill MacCartney and Christopher D. Manning
Presented at the ACL 2007 Workshop on Textual Entailment and Paraphrasing
Learning to recognize features of valid textual entailments
[ppt]
Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe,
Daniel Cer, Christopher D. Manning
Presented at NAACL-06
NLP Lunch Tutorial: Smoothing
[pdf]
Bill MacCartney
April 2005
Practical Partition-Based Theorem Proving for Large Knowledge Bases
[ppt]
Bill MacCartney, Sheila A. McIlraith, Eyal Amir, Tomas Uribe
18th International Joint Conference on Artificial Intelligence (IJCAI-03), August 2003
Partition-Based Logical Reasoning
[ppt,
html/ie]
Bill MacCartney, Sheila A. McIlraith, Eyal Amir, Tomas Uribe
RKF Principal Investigators Meeting, Hilton Head SC, 13-15 November 2002
Undergraduate Thesis
On the Use of Pseudo-Empirical Induction in Mathematics
[html]
William MacCartney
Senior Thesis, Princeton University, Department of
Philosophy, 30 April 1990
Other stuff I did before
Knowledge Systems Lab, Stanford University,
Researcher,
2002-2003
AI research. Development & testing of algorithms for
partition-based reasoning in large knowledge bases.
More...
SayIt, Inc.,
Cofounder, VP Production,
1999-2000
Website production: process management, UI design, information
architecture, user experience analysis.
More...
D. E. Shaw & Co.,
Quant/Trader,
1996-1998
Fixed-income arbitrage trading, computational modeling.
Managed $5B of Japanese bonds & derivatives.
More...
Cycorp, Inc.,
Researcher, Knowledge Engineer,
1994-1995
AI research. Led effort to deploy Cyc in a multi-agent
architecture to achieve distributed inferencing.
More...
TestTakers, Inc.,
Head of Research & Development,
1991-1994
Small business, many roles. Led curriculum development.
Built core database app. Lots of teaching.
More...
J. W. Goethe Universität Frankfurt,
Fulbright scholar,
1990-1991
One year of graduate study in philosophy of language.
Developed German language skills.
More...
Princeton University,
B.A. in Philosophy, summa cum laude,
1986-1990
Prize for best senior thesis in logic and epistemology.
GPA 4.0/3.9. GRE 800/800/800. LSAT 180.
More...
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Contact info
Email:
Phone: 650-725-6965
Office:
Computer Science Department
Gates Building, Room 114
Stanford University
Stanford, CA 94305-9020
We never perform a computation ourselves, we just
hitch a ride on the great Computation that is going on already.
Tommaso Toffoli
Yes, we have a soul. But it's made of lots of tiny robots.
Giulio Giorelli
Research is the process of going up alleys to see if they are blind.
Marston Bates
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