(Last updated May 26, 2023)
Visiting Research Scientist Allen Institute for Artificial Intelligence (AI2), Seattle, WA |
January 2023- |
Associate Professor University of Pennsylvania, Philadelphia, PA |
June 2017-present |
Part-time Visiting Researcher Google (via Adecco), New York, NY |
December 2018-December 2020 |
Aravind K. Joshi Term Assistant Professor University of Pennsylvania, Philadelphia, PA |
September 2013-June 2017 |
Associate Research Professor Johns Hopkins University, Baltimore, MD |
June 2010-August 2013 |
Assistant Research Professor Johns Hopkins University, Baltimore, MD |
June 2007-June 2010 |
Lead of Machine Translation Research Division JHU Human Language Technology Center of Excellence (HLTCOE), Baltimore, MD |
May 2010-August 2013 |
Founder / Director Linear B, Ltd., Edinburgh, UK |
October 2002-January 2009 |
Computational Linguist / Software Engineer Amikai, Inc., San Francisco, CA |
June 2000-September 2001 |
PhD in Informatics University of Edinburgh, Edinburgh, UK Thesis:Paraphrasing and Translation. Advisors:Miles Osborne and Mark Steedman. |
February 2008 |
M.S. with Distinction in Computer Science University of Edinburgh, Edinburgh, UK Thesis:Co-Training for Statistical Machine Translation. Advisors:Miles Osborne. |
October 2002 |
B.S. with Honors in Symbolic Systems Stanford University, Palo Alto, CA Thesis:A Computer Model of a Grammar for English Questions. Advisors:Ivan Sag. |
June 2000 |
You can read my full teaching reviews here. Below are the summary statistics.
Quality scale (0-4): 0=Poor, 1=Fair, 2=Good, 3=Very Good, 4=Excellent
Term | Course Title (Number) | Students Enrolled | Course Quality | Instructor Quality |
---|---|---|---|---|
Fall 2022 | Artificial Intelligence (CIS 4210/5210 - on campus) | 363 | 3.3 | 3.5 |
Fall 2022 | Artificial Intelligence (CIS 5210 - MCIT Online) | 94 | 3.4 | 3.6 |
Fall 2022 | Research Practicum (CIS 8000) | 16 | 3.5 | 3.6 |
Summer 2022 | Artificial Intelligence (CIS 521 - MCIT Online) | 70 | 3.5 | 3.7 |
Spring 2022 | Interactive Fiction and Text Generation (CIS 700-001) | 53 | 3.3 | 3.5 |
Fall 2021 | Artificial Intelligence (CIS 421/521 - on campus + MCIT Online) | 563 | 3.2 | 3.4 |
Summer 2021 | Artificial Intelligence (CIS 521 - MCIT Online) | 49 | 3.0 | 3.6 |
Spring 2021 | Crowdsourcing and Human Computation (NETS 213) | 146 | 3.0 | 3.3 |
Fall 2020 | Artificial Intelligence (CIS 421/521) | 197 | 3.1 | 3.3 |
Spring 2020 | Computational Linguistics (CIS 530) | 125 | 3.3 | 3.3 |
Spring 2020 | Interactive Fiction and Text Generation (CIS 700-008) | 23 | 3.1 | 3.3 |
Fall 2019 | Artificial Intelligence (CIS 421/521) | 148 | 3.1 | 3.3 |
Summer 2019 | Artificial Intelligence (CIS 421/521) | 36 | 2.9 | 3.0 |
Spring 2019 | Computational Linguistics (CIS 530) | 75 | 2.8 | 3.0 |
Spring 2019 | Crowdsourcing and Human Computation (NETS 213) | 59 | 2.5 | 2.7 |
Fall 2018 | Artificial Intelligence (CIS 421/521) | 101 | 2.5 | 2.5 |
Spring 2018 | Computational Linguistics (CIS 530) | 64 | 2.8 | 2.7 |
Fall 2017 | Data Structures and Algorithms (CIS 121) | 216 | 2.1 | 1.7 |
Fall 2016 | Data Structures and Algorithms (CIS 121) | 219 | 2.5 | 2.2 |
Spring 2016 | Crowdsourcing and Human Computation (NETS 213) | 113 | 2.4 | 2.8 |
Fall 2015 | Data Structures and Algorithms (CIS 121) | 174 | 2.2 | 2.2 |
Spring 2015 | Machine Translation (CIS 526) | 51 | 2.9 | 3.2 |
Fall 2014 | Crowdsourcing and Human Computation (NETS 213) | 48 | 3.2 | 3.6 |
Spring 2014 | Machine Translation (CIS 526) | 25 | 3.3 | 3.5 |
Fall 2013 | Crowdsourcing and Human Computation (CIS 399) | 26 | 3.1 | 3.5 |
Grant Title | Awarding Body | Amount | Dates | PI Info |
---|---|---|---|---|
Research Gift | Salesforce | $30k | 2023-2024 | Chris Callison-Burch - PI, Mark Yatskar - co-PI |
Research Gift | Roblox | $100k | 2023-2024 | Chris Callison-Burch - PI |
UNCOVER: Cross-lingual question answering to identifying information differences between English and Russian Wikipedia articles | AFRL | $150k | 2023-2024 | Chris Callison-Burch - PI, Marianna Apidianaki - co-PI |
IARPA HIATUS: PAUSIT: Privacy protection and Authorship attribution Using Style-based Interpretable Transfer | IARPA | $7m | 2022-2026 | Chris Callison-Burch - PI, Marianna Apidianaki - co-PI, Kathleen McKeown (Columbia), Smaranda Muresan (Columbia), Owen Rambow (Stony Brook University), Niranjan Balasubramanian (Stony Brook University), Andy Schwartz (Stony Brook University) |
FFW-HTF-RL: Collaborative Research: Up-skilling and Re-skilling Marginalized Rural and Urban Digital Workers: AI-worker collaboration to access creative work | NSF | $3m | 2019-2024 | Jeffrey Bigham (CMU) - PI, Chris Callison-Burch (UPenn), Ben Hanrahan (Penn State), Niki Kittur (CMU), Beibei Li (CMU), Amy Ogan (CMU), Amy Pavel (CMU), Saiph Savage (West Virgina University), Julia Ticona (UPenn) |
KAIROS: RESIN: Reasoning about Event Schemas for Induction of kNowledge | DARPA | $12m | 2019-2024 | Heng Ji (PI - UIUC), Mohit Bansal (UNC), Chris Callison-Burch (UPenn), Shih-Fu Chang (Columbia), Jiawei Han (UIUC), Martha Palmer (Colorado), Dan Roth (UPenn), Carl Vondrick (Columbia) |
Grant Title | Awarding Body | Amount | Dates | PI Info |
---|
Grant Title | Awarding Body | Amount | Dates | PI Info |
---|---|---|---|---|
Semi-supervised Learning of Multimodal Representations | DARPA | $428k | 2019-2022 | Chris Callison-Burch (PI-UPenn) and Derry Wijaya (Boston University) |
STTR: Personalized Retrieval-based Simplification | NSF | $225k | 2019-2021 | Eleni Miltsakaki (Choosito.com) - PI, Chris Callison-Burch |
Alexa Prize TaskBot Challenge | Amazon | $250k | 2021-2022 | Chris Callison-Burch (PI), Mark Yatskar (UPenn) |
Computing Innovation Postdoctoral Fellow Award | NSF/CRA | ~$140k | 2021-2023 | Lara Martin (postdoc), Chris Callison-Burch (faculty advisor) |
REU Supplement | NSF | $16k | 2019-2020 | co-PI Chris Cieri |
SPUR WOMEN: Support and Promote Undergraduate Research for Women | $15k from Google | 2019-2020 | PI with Rita Powell | |
LWLL: FLASH: Fast Learning via Auxiliary signals, Structured knowledge, and Human expertise | DARPA | $3.3m | 2019-2022 | Dan Roth (PI - UPenn), Irfan Essa (Georgia Tech), Chris Callison-Burch (UPenn), Zsolt Kira (Georgia Tech), Le Song (Georgia Tech), Mayur Naik (UPenn), Osbert Bastani (UPenn) |
BETTER: Task and User-Aware Representation Learning for Fine-Grained Cross-Lingual Information Retrieval | IARPA | $6m | 2019-2023 | Ellie Pavlick (PI - Brown), Carsten Eickhoff (Brown), Chris Callison-Burch (UPenn), Wei Xu (OSU), Alan Ritter (OSU) |
Google Faculty Research Award (Using Self-Identification of Group Membership to Explore Differences in Argumentation and Evidence Finding) | $80,000 | 2019 | Chris Callison-Burch and Emily Falk | |
SPUR WOMEN: Support and Promote Undergraduate Research for Women | $25k from Google, plus $25k matched by SEAS | 2018-2019 | PI with Rita Powell | |
CI-NEW: NIEUW: Novel Incentives and Workflows in Linguistics Data Collection | NSF | $1.2m | 2017-2022 | co-PI with Christopher Cieri and Mark Liberman |
DEFT Extension | DARPA | $116,000 | 2017-2017 | PI with Ben Van Durme |
CI-P: Planning for Scalable Language Resource Creation through Novel Incentives and Crowdsourcing | NSF | $100,000 | 2016-2017 | co-PI with Christopher Cieri and Mark Liberman |
Amazon Web Services supplimental grant to Amazon Academic Research Award | Amazon | $40,000 | 2016-2017 | PI |
Low Resource Machine Translation via Matrix Factorization (Amazon Academic Research Awards) | Amazon | $68,000 | 2016-2017 | PI |
Learning translations from monolingual texts (LORELEI) | DARPA | $478,000 | 2015-2019 | PI at Penn |
SIREN-IL: Specialized Intra/Interlingual Resources for Emergent News - Incident Language | DARPA | $3,031,412 | 2015-2017 | co-PI with Stephanie Strassel |
Natural Logic Solver for Aristo | Allen Institute for Artificial Intelligence (AI2) | $95,000 | 2015-2016 | PI |
EAGER: Simplification as Machine Translation | NSF | $100,000 | 2014-2015 | PI |
Unsolicited Gift | $50,000 | 2014 | ||
Sloan Research Fellowship | Alfred P. Sloan Foundation | $50,000 | 2014 | |
Google Faculty Research Award (Learning Paraphrases from Large, Diverse Data Sets) | $62,000 | 2013 | ||
Large-scale Paraphrasing for Natural Language Understanding (DEFT) | DARPA | $1,600,000 | 2012-2017 | PI with Ben Van Durme |
EAGER: Combining natural language inference and data-driven paraphrasing | NSF | $100,000 | 2012-2013 | co-PI with Ben Van Durme |
Crowdsourcing Translation (Computer Science Study Panel phase 3) | DARPA | $500,000 | 2012-2015 | PI |
Improved Arabic dialect translation through Crowdsourcing | DARPA | $176,000 | 2012-2013 | PI |
Acquisition and use of paraphrases in a knowledge-rich setting | Vulcan | $260,000 | 2011-2013 | co-PI with Ben Van Durme |
Google Faculty Research Award (Translate the World: A Unified Framework for Crowdsourcing Translation) | $150,000 | 2011 | co-PI with Philip Resnik and Ben Bederson | |
Crowdsourcing Translation | Microsoft | $25,000 | 2011 | |
RI:Medium: Semi-supervised Discriminative Training of Sequence Transduction Model | NSF | $800,000 | 2011-2015 | co-PI with Sanjeev Khudanpur, Brian Roark, Damianos Karakos, Richard Sproat |
Translation of informal texts via Mechanical Turk | BBN Technologies | $144,000 | 2010-2011 | PI |
BABEL: Bayesian Architecture Begetting Every Language (Computer Science Study Panel phase 2) | DARPA | $500,000 | 2010-2012 | PI |
Google Faculty Research Award (The Babel Challenge: Translating all the World’s Languages) | $45,000 | 2010 | co-PI with Miles Osborne | |
EuroMatrixPlus: Bringing Machine Translation for European Languages to the User | European Union Framework 7 Programme | €4,950,000 | 2009-2012 | PI at JHU (JHU Amount: €516,000) |
Global Autonomous Language Exploitation (GALE) project, Periods 3 and 4 | DARPA | $575,000 | 2009-2011 | co-PI with Sanjeev Khudanpur and Damianos Karakos |
Computer Science Study Panel | DARPA | $93,000 | 2008-2009 | PI |
RI:SMALL: Multi-Level Modeling of Language and Translation | NSF | $400,000 | 2007-2012 | co-PI with David Yarowsky |
SMART:Scotland Technology Innovation Grant | British Government | £45,000 | 2002-2005 |