Bill MacCartney
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personal
I'm the Director of Proactive Intelligence at Apple, where I lead 120+ scientists
and engineers in using machine learning and natural language processing to build predictive
models of language and user behavior. In this role, I oversee teams responsible for the
QuickType, QuickPath, Shortcuts, Siri Suggestions, and Siri Found In features.
Previously, I was a Senior Research Scientist at Google, where
I worked on natural language understanding for search and Google Now.
I'm also a Consulting Assistant Professor of Computer Science at Stanford.
Since 2010, I've taught
CS224U: Natural Language Understanding
together with
Prof. Christopher Potts. This
is a grad-level class, cross-listed between Computer Science and
Linguistics, with an enrollment of 275+.
I completed my Ph.D. in Computer Science at Stanford University in 2009.
I was advised by Prof. Chris
Manning, and was a member of
the NLP research group and
the Stanford Artificial Intelligence
Laboratory.
My doctoral research focused on probabilistic approaches to computational
semantics and the problem of natural language inference.
I published a number of well-regarded
academic papers in
NLP, and won the Best Paper award at the 22nd International Conference on
Computational Linguistics in 2008.
I was also co-author of
the Stanford
typed dependency parser, which has
been cited
more than 2,400 times.
My Ph.D. dissertation
Natural language inference
[pdf]
[ppt]
Bill MacCartney
Ph.D. dissertation,
Stanford University, June 2009
Peer-reviewed papers
An extended model of natural logic
[pdf]
[ppt]
Bill MacCartney and Christopher D. Manning
The Eighth International Conference on Computational Semantics (IWCS-8),
Tilburg, Netherlands, January 2009
A phrase-based alignment model for natural language inference
[pdf]
[ppt]
Bill MacCartney, Michel Galley, and Christopher D. Manning
The Conference on Empirical Methods in Natural Language Processing (EMNLP-08),
Honolulu, HI, October 2008
Modeling semantic containment and exclusion in natural language inference
[pdf]
[ppt]
Bill MacCartney and Christopher D. Manning
The 22nd International Conference on Computational Linguistics (Coling-08),
Manchester, UK, August 2008
—received Best Paper Award—
Natural logic for textual inference
[pdf]
[ppt]
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]
[ppt]
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
Natural Logic and Natural Language Inference
[pdf]
University of Pennsylvania,
Philadelphia, PA, 10 April 2015
Understanding Natural Language Understanding
[pdf,
video]
ACM SIGAI Bay Area Chapter Inaugural Meeting,
San Mateo, CA, 16 July 2014
Natural Logic and Natural Language Inference
[ppt]
Workshop on Natural Logic, Proof Theory, and Computational Semantics,
Stanford, CA, 8 April 2011
Two Aspects of the Problem of Natural Language Inference
[ppt,
video]
Microsoft Research, Redmond, WA, 8 October 2008
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
A Quick Introduction to Natural Language Processing
[pdf,
pptx]
Bill MacCartney
Guest lecture in SymSys 100
Stanford University, 26 May 2011
Modeling semantic containment and exclusion in natural language inference
[ppt]
Bill MacCartney and Christopher D. Manning
Presented at the 22nd International Conference on Computational Linguistics (Coling-08)
Manchester, UK, August 2008
—received Best Paper Award—
Natural logic for textual inference
[ppt]
Bill MacCartney and Christopher D. Manning
Presented at the ACL 2007 Workshop on Textual Entailment and Paraphrasing
Prague, Czech Republic, June 2007
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
New York, NY, June 2006
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
Professional Service
I've served on the program committee or as a reviewer for several NLP conferences:
- Reviewer, NAACL-HLT 2007
- Reviewer, EMNLP 2008
- Reviewer, NAACL-HLT 2009
- Program Committee, TextInfer 2009
- Program Committee, NASSLLI 2010 Workshop on Inference from Text
- Program Committee, EMNLP 2010
- Program Committee, IWCS 2011
- Program Committee, TextInfer 2011
- Program Committee, EMNLP 2011
- Program Committee, COLING 2012
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Contact info
Email:
Phone: 415-742-1185
Profiles:
LinkedIn,
Scholar,
GitHub
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
If the police police police police, who polices the police police? Police police police police police police.
Hans-Martin Gärtner
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