Lisa Bauer

PhD student
Computer Science Department, UNC Chapel Hill
Email: lbauer6 [at] cs [dot] unc [dot] edu
Office: SN308, Sitterson Hall

About Me

I'm a fifth-year PhD student in the Computer Science Department at the University of North Carolina at Chapel Hill working with Prof. Mohit Bansal in the UNC-NLP Research Group. My research is in Natural Language Processing and primarily focuses on natural language understanding, with an emphasis on deep reasoning and knowledge-based inference. My work is supported by the National Science Foundation Graduate Research Fellowship Program. Recently I worked at Amazon Alexa AI as a research intern with Karthik Gopalakrishnan, Spandana Gella, Yang Liu, and Dilek Hakkani-Tur. Previously, I worked with Duccio Pappadopulo, Marco Farina, and Ozan Irsoy as a research intern at Bloomberg. I also worked with Lingjia Deng at Bloomberg.


Here is my CV.


UNC Chapel Hill, 2017 - Present
PhD Computer Science, Advisor: Prof. Mohit Bansal

The Johns Hopkins University, 2012-2016
B.A. Computer Science, Cognitive Science
Graduated with Honors


Analyzing the Limits of Self-Supervision in Handling Bias in Language
Lisa Bauer, Karthik Gopalakrishnan, Spandana Gella, Yang Liu, Mohit Bansal, Dilek Hakkani-Tur

Disentangling Online Chats with DAG-structured LSTMs
Duccio Pappadopulo*, Lisa Bauer*, Marco Farina, Ozan İrsoy and Mohit Bansal
Proceedings of the 10th Joint Conference on Lexical and Computational Semantics (*SEM), 2021

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Swarnadeep Saha, Prateek Yadav, Lisa Bauer, and Mohit Bansal
Proceedings of EMNLP 2021
[pdf], [data/code]

ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI
Lisa Bauer, Lingjia Deng, Mohit Bansal
Proceedings of the Deep Learning Inside Out (DeeLIO) Workshop, NAACL-HLT 2021

Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks (Oral)
Lisa Bauer, Mohit Bansal
Proceedings of EACL 2021
[pdf], [code], [slides], [talk]

Simple Compounded-Label Training for Fact Extraction and Verification (Oral)
Yixin Nie*, Lisa Bauer*, Mohit Bansal
Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER) 2020
[pdf], [slides], [talk]

Commonsense for Generative Multi-Hop Question Answering Tasks (Oral)
Lisa Bauer*, Yicheng Wang*, Mohit Bansal
Proceedings of EMNLP 2018, Brussels, Belgium
[pdf], [code], [slides], [talk]

Automatic Classification of Humpback Whale Social Calls
Irina Tolkova* and Lisa Bauer*, Antonella Wilby, Ryan Kastner, Kerri D. Seger, Aaron M. Thode
Acoustical Society of America Conference, Boston, MA. June 24-29, 2017
[Also presented this work to researchers at San Diego Zoo’s Institute for Conservation Research, Qualcomm Research, Scripps Institution of Oceanography and GoPro.]

*Equal Contribution

Work Experience

Amazon Alexa AI (Summer 2021)
Research Intern, Mentors: Karthik Gopalakrishnan, Spandana Gella
Managers: Yang Liu, Dilek Hakkani-Tur

Bloomberg LP (Summer 2020)
Research Intern, Mentor: Duccio Pappadopulo, Co-Mentors: Marco Farina, Ozan Irsoy

Bloomberg LP (Summer 2019)
Research Intern, Mentor: Lingjia Deng

Center for Language and Speech Processing, JHU (Spring 2017)
Research Assistant, Advisor: Prof. Benjamin Van Durme
Crowdsourced human verification of predicate extraction tool (PredPatt) and analyzed its application to foreign language.

NSF REU (Engineers for Exploration), UCSD (Summer 2016)
Student Researcher, Advisor: Prof. Ryan Kastner
Designed, implemented, and applied a supervised classification algorithm using Hidden Markov Models to classify Humpback whale vocalizations. Here is a blog post about the project.

Johns Hopkins Applied Physics Laboratory, Laurel, MD (Summer 2015)
Technical Intern in Air & Missile Defense Sector
Developed wrapper GPS model compliant with Missile Defense Agency's supported research simulation software and developed PCI communication between components of Kill Vehicle Modular Open Architecture.

CogNeuro Research Laboratory, JHU  (Spring 2015 - Fall 2016)
Research Assistant, Advisor: Prof. Brenda Rapp
Developed adaptive learning algorithm for improving efficiency of an asphasia treatment study for people with spelling impairments.


Graduate Women in Computer Science (GWiCS)
President 2018-2020, Member 2017-2018
More information here.

SMART program
Undergraduate Research Mentor, Summer 2018

United Workers Association, Inc
Campaign Worker, Spring 2017
I canvassed, petitioned, and phone banked to support the Healthy Working Families Act for earned paid sick leave in the state of Maryland.

JHU Jail Tutorial
Tutor, Fall 2014- Fall 2016
I tutored incarcerated women at the Maryland Penitentiary in GED subjects including math and English.