Associate Professor, Department of Computer Science
Co-Director, Center for High Performance Computing
(Publishes as Nathanael Chambers)
Visualization of sentiment between nation states.
New research on dense event ordering: ACL and TACL.
Presented event schema induction at EMNLP-2013.
Undergrad research on sentiment; highly ranked at SemEval-2013
Radio interview on WNAV Dec 14
Mood of the Nation live feed posted.
|Spring 2016:||IC211, Object-Oriented Programming|
SI204, Intro to Computing
|Fall 2015:||IT350, Web & Internet Programming|
IC210, Intro to Computing
|Spring 2015:||SI486i, Natural Language Processing|
|Fall 2014:||SI110, Cyber Security I|
|Spring 2014:||IC211, Object-Oriented Programming|
|Fall 2013:||SI485i, Natural Language Processing|
|SI110, Cyber Security I|
|Spring 2013:||IT452, Advanced Web & Internet Programming|
|Fall 2012:||SI485i, Natural Language Processing|
|IC210, Intro to Computer Science|
|Spring 2012:||IT452, Advanced Web & Internet Programming|
|Fall 2011:||IT350, Web and Internet Programming|
I research natural language processing (NLP) and learning about the world from text with minimal supervision. I apply modern NLP and machine learning techniques to the Web to learn how events and people interact. I am also interested in information extraction to help people better understand large amounts of text. I also model time: when events start, how long, and in what order they occur.
I am always open to advising undergraduate research. Come talk to me if you're interested. Topics ranging from social media like Twitter to intelligent systems that read the news are ripe for study.
Ph.D., Computer Science, Stanford University, 2011
M.S., Computer Science, University of Rochester, 2003
B.S., Computer Science, University of Rochester, 2002
Selected Publications (view all 39 with downloads)
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
Identifying Political Sentiment between Nation States with Social Media
Dense Event Ordering with a Multi-Pass Architecture
Event Schema Induction with a Probabilistic Entity-Driven Model
Deterministic coreference resolution based on entity-centric, precision-ranked rules
Labeling Documents with Timestamps: Learning from their Time Expressions
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
Template-Based Information Extraction without the Templates
A Multi-Pass Sieve for Coreference Resolution
Unsupervised Learning of Narrative Schemas and their Participants
Narrative Cloze Evaluation (Gigaword Corpus NYT labeled)
Past and present web design projects I have been involved with:
A collaborative website for teachers (founder, no longer affiliated)