Nate Chambers

Associate Professor, Department of Computer Science

Co-Director, Center for High Performance Computing

(Publishes as Nathanael Chambers)

Recent Developments

New paper on NLP for Security at NAACL-18

New paper on event tensors at AAAI

Co-organizing LSDSem-2017

Tutorial given at Heidelberg

Visualization of sentiment between nation states.


Spring 2019:IC211, Object-Oriented Programming
Fall 2018:SY110, Technical Foundations of Cyber Security
Spring 2018:SI204, Intro to Computer Science
Fall 2017:SI425, Natural Language Processing
IC210, Intro to Computing
Spring 2016:IC211, Object-Oriented Programming
SI204, Intro to Computing
Fall 2015:IT350, Web & Internet Programming
IC210, Intro to Computing
(previous semesters 2011-2014)

Research Interests

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.

Student Collaboration

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 45 with downloads)

Event Representations with Tensor-based Compositions

AAAI 2018

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

NAACL 2016

Identifying Political Sentiment between Nation States with Social Media

EMNLP 2015

Dense Event Ordering with a Multi-Pass Architecture

TACL 2014

Event Schema Induction with a Probabilistic Entity-Driven Model

EMNLP 2013

Deterministic coreference resolution based on entity-centric, precision-ranked rules

Comp Ling

Labeling Documents with Timestamps: Learning from their Time Expressions

ACL 2012

Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter

EACL 2012

Template-Based Information Extraction without the Templates

ACL 2011

A Multi-Pass Sieve for Coreference Resolution

EMNLP 2010

Unsupervised Learning of Narrative Schemas and their Participants

ACL 2009

view all 45 with downloads


Twitter DDoS Attacks

Story Cloze Test Corpora

Nation-Nation Sentiment Data and Visualization

CAEVO: Dense Event Ordering

Narrative Cloze Evaluation (Gigaword Corpus NYT labeled)

Narrative Schemas Data

Political Tweets

Document Timestamp Prediction

Pseudo-Word Evaluation Data

TimeBank Event Pairs

Event Duration Lexicon