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Mohit Bansal

Assistant Professor (Director, UNC-NLP Lab)
Computer Science Dept., UNC Chapel Hill
FB-246, 201 S. Columbia St.
Chapel Hill, NC 27599-3175
mbansal -atsign- cs -dot- unc -dot- edu
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Updates/News:

I am looking for motivated PhD students and postdocs in NLP, ML, and multimodal AI: [Info for Prospective Students] [Department's Why-UNC Page]

Postdoc Opening: [link]

About

Dr. Mohit Bansal is the Director of the UNC-NLP Lab and an assistant professor in the Computer Science department at the University of North Carolina (UNC) Chapel Hill. Prior to this, he was a research assistant professor (3-year endowed position) at TTI-Chicago. He received his Ph.D. in 2013 from the University of California at Berkeley (where he was advised by Dan Klein) and his B.Tech. from the Indian Institute of Technology at Kanpur in 2008. He has also spent time at Google Research, Microsoft Research, and Cornell University. His research expertise is in statistical natural language processing and machine learning, with a particular focus on multimodal, grounded, and embodied semantics (i.e., language with vision and speech, for robotics), human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. He is a recipient of the 2018 ARO Young Investigator Award (YIP), 2017 DARPA Young Faculty Award (YFA), 2017 ACL Outstanding Paper Award, 2014 ACL Best Paper Award Honorable Mention, 2018 COLING Area Chair Favorites Paper Award, and several faculty awards from Google (2016, 2014), Facebook (2018, 2017), IBM (2018, 2014), Adobe (2018), and Bloomberg (2016).

Research Interests

Statistical natural language processing and machine learning, with a focus on multimodal, grounded, and embodied semantics (i.e., language with vision and speech, for robotics), human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning.

Work Experience

Computer Science department, UNC Chapel Hill (2016 — present)
Assistant Professor (Director, UNC-NLP Lab)

Toyota Technological Institute, Chicago (2013 — 2016)
Research Assistant Professor

EECS, UC Berkeley (2008 — 2013)
Graduate Student Researcher (Advisor: Dan Klein)

Google Research, Mountain View (Summer 2011)
Research Intern (with John DeNero and Dekang Lin)

Microsoft Research, Redmond (Summer 2010)
Research Intern (with Chris Quirk and Bob Moore)

Cornell University, Ithaca (Summer 2007)
Research Intern (with Lillian Lee and Claire Cardie)

Honors/Awards

Salesforce Research Deep Learning Grant, 2018

Facebook Faculty Research Award, 2018

IBM Faculty Award, 2018

Army Research Office Young Investigator Award (ARO-YIP), 2018

COLING 'Area Chair Favorites' Paper Award, 2018

Adobe Faculty Research Award, 2018

Verisk AI Faculty Research Award, 2018

DARPA Young Faculty Award (DARPA-YFA), 2017

Facebook ParlAI Faculty Research Award, 2017

ACL Outstanding Paper Award, 2017

Google Faculty Research Award, 2016

Best Paper Award, ACL Representation Learning for NLP Workshop, 2016

Bloomberg Data Science Research Grant, 2016

NVidia Paper Award, NIPS Multimodal Machine Learning Workshop, 2015

Google Faculty Research Award, 2014

IBM Faculty Award, 2014

ACL Best Paper Award Honorable Mention (top-5 paper), 2014

Best/Outstanding Reviewer Award, COLING 2018, NAACL 2018, NAACL 2015, EMNLP 2012

Outstanding Graduate Student Instructor Award, UC Berkeley, 2011

Tong Leong Lim Pre-Doctoral Prize, EECS, UC Berkeley, 2011

Qualcomm Innovation Fellowship, 2011

Publications (+Code/Data)

(most conferences below (incl. short paper proceedings) have a <25% acceptance rate; google scholar based list of top-ranked conferences in NLP, vision, AI/ML, robotics)

Teaching

Instructor, Advanced Topics in NLP: Recent Progress in Different Learning Paradigms, UNC Chapel Hill, Spring 2019.

Instructor, Advanced Topics in NLP: Conversational Models, UNC Chapel Hill, Spring 2018.

Instructor, Graduate Natural Language Processing, UNC Chapel Hill, Fall 2017.

Instructor, Advanced Topics in NLP: Language Grounding for Robotics, UNC Chapel Hill, Spring 2017.

Instructor, Seminar on Natural Language Processing, UNC Chapel Hill, Fall 2016.

Guest Lecturer, Computational Linguistics (Instructor: John Goldsmith), University of Chicago, Spring 2015.

Guest Lecturer, Robotics and Artificial Intelligence (Instructor: Matthew Walter), TTI-Chicago, University of Chicago, Spring 2015.

Guest Lecturer, Visual Recognition with Text (Instructor: Sanja Fidler), University of Toronto, Winter 2015 — short course on 'Topics, Trends, and Resources in NLP' [slides].

Grad Student Instructor, Introduction to Artificial Intelligence (Instructor: Dan Klein), UC Berkeley, Fall 2011. Received an Outstanding Graduate Student Instructor Award by UC Berkeley for excellence in teaching.

Grad Student Instructor, Advanced Topics in Artificial Intelligence (Instructors: Pieter Abbeel, Dan Klein, Jitendra Malik), UC Berkeley, Spring 2009. Sole TA for new course with 30 advanced students.

Students/Interns

Student openings: I am looking for highly motivated PhD students. If you are interested in the broad areas of multimodal NLP (with vision and speech, for robotics), language generation and dialogue/Q&A, and structured+interpretable deep learning, please see my prospective student page and contact me at mbansal-AT-cs-DOT-unc-DOT-edu for further details.

More student info at: UNC-NLP Lab

UNC Advisees:
Lisa Bauer (UNC, PhD) (NSF Graduate Research Fellow)
Yen-Chun Chen (UNC, MS)
Tsion Coulter (UNC, BS)
Han Guo (UNC, BS)
Darryl Hannan (UNC, PhD) (NSF Graduate Research Fellow)
Yichen Jiang (UNC, MS)
Sweta Karlekar (UNC, BS)
Jie Lei (UNC, PhD; co-advised with Tamara Berg)
Yixin Nie (UNC, PhD)
Ramakanth Pasunuru (UNC, PhD) (Microsoft Research PhD Fellow)
Hao Tan (UNC, PhD)
Yicheng Wang (UNC, BS)
Shiyue Zhang (UNC, PhD)
Xiang Zhou (UNC, PhD)

Other Advisees:
Arjun Chandrasekaran (Georgia Tech, PhD; advisor = Devi Parikh) (PhD Thesis Committee Member)
Nitish Joshi (Visiting student; IIT Bombay, BS)
Tong Niu (Visiting student; Duke, MS)
Licheng Yu (UNC, PhD; advisor = Tamara Berg) (PhD Thesis Committee Member)

Past Advisees:
Malika Aubakirova (UChicago, BS)
Dhivya Eswaran (IIT-Madras, BTech --> CMU, PhD)
Rasool Fakoor (UT-Arlington, PhD --> MSR)
Arnab Ghosh (IIT Kanpur, BTech --> Oxford, PhD)
Yuchen He (UIUC, PhD)
Myungin Kim (UChicago, MS)
Zuyao Li (USC, MS --> Google/Nest)
Ang Lu (Tsinghua, BS --> CMU, MS)
Pranava S. Madhyastha (UPC Barcelona, PhD)
Hongyuan Mei (UChicago/TTIC, MS --> JHU, PhD) (MS Thesis Co-Advisor)
Aravind L Srinivas (IIT Madras, BTech --> UC Berkeley, PhD)
Ryan Stout (UIUC, MS)
Trang Tran (UWash, PhD)
Jing Wang (UIC, PhD --> Conversant)
John Wieting (UIUC/TTIC MS --> CMU, PhD)
Zhengyang Wu (GeorgiaTech, BS --> MagicLeap)

Professional Service

Program Co-Chair: CoNLL 2019

Area Chair (Semantics): EMNLP 2019

Area Chair (Summarization): NAACL 2019

Area Chair (Discourse, Dialogue, Summarization, Generation, Multimodal NLP): EMNLP 2018

Tutorial Chair: NAACL 2018

Area Chair (Vision, Robots, and Grounding): ACL 2017

Area Chair (Machine Learning): EMNLP 2017

Demo Chair: ACL 2017

Tutorial Chair: NAACL 2016

Area Chair: NAACL 2016

Program Committee Member / Reviewer:

Conferences: EMNLP (best reviewer award, 2012), NAACL (best reviewer award, 2018, 2015), ACL, NIPS, ICLR, IJCAI, EACL, COLING (outstanding reviewer award, 2018), *SEM, IJCNLP, ICON

Journals: TACL, TPAMI, TALIP

Workshops: ACL Workshop of Women in Natural Language Processing (2017), ACL Workshop on Representation Learning for NLP (2017), EACL Workshop on Ethics in Natural Language Processing (2017), NAACL Multilingual and Crosslingual Methods in NLP (2016), NAACL Human-Computer Question Answering (2016), ACL Evaluating Vector-Space Representations for NLP (2016), NAACL Vector Space Modeling for NLP (2015)

University Research Proposals: ORAU

Organizer: SpLU-RoboNLP Joint Workshop at NAACL 2019, CVPR 2019 Workshop on Conceptual Captions, NLP/ML Colloquium Series at UNC, Language Grounding for Robotics at ACL 2017, Midwest Speech and Language Days 2015

Committee Member: Graduate (PhD) Admissions Committee, EECS, UC Berkeley

Panel Member: National Science Foundation (NSF) Review Panels

Software and Datasets: Available as links with corresponding paper in Publications/Code/Data.