Alan Ritter

Associate Professor
School of Interactive Computing
College of Computing
Georgia Institute of Technology
Office: Coda 1157B
Email: alan.ritter@cc.gatech.edu
Google Scholar: https://scholar.google.com/citations?hl=en&user=unXtH3IAAAAJ
Semantic Scholar: https://www.semanticscholar.org/author/Alan-Ritter/4655992
Follow @alan_ritter

I am an Associate Professor in the School of Interactive Computing at Georgia Tech (also affiliated with the Machine Learning Center). I do research on natural language processing. My research group investigates questions regarding robust models that work across many domains and languages, while requiring fewer labels, and making efficient use of computational resources. I am also interested in data-driven dialogue agents that safely and naturally converse on any topic.

Before joining Georgia Tech, I received my Ph.D. from the University of Washington, did a postdoc in the Machine Learning Department at Carnegie Mellon, and was an Assistant/Associate professor in the department of Computer Science and Engineering at Ohio State.

I am always looking for well-qualified students to work with on research related to NLP and Machine Learning. You can find information about our Ph.D. program here. For current Georgia Tech students interested in research: please email me a copy of your resume and a summary of what you are hoping to achieve by getting involved in research.

Recent Activities:

7/2023 Speaking at Matching Workshop @ ACL 2023
2/2023 Talk at the University of Pennsylvania
10/2022 Talk at Princeton University
10/2022 Talk at Columbia University
10/2022 Talk at New York University
10/2022 Talk at Google New York
5/2022 Talk at Johns Hopkins University
1/2022 Talk at Megagon Labs
9/2021 Talk at the University of Notre Dame NLP Seminar
12/2019, Speaking at the NeurIPS workshop on Conversational AI [video]
NSF CAREER Award
5th Workshop on NLP in noisy user-generated text (W-NUT) at EMNLP 2019. Consider submitting an abstract or paper!
6/2019 Talk at Twitter
5/2019 Visiting Faculty, Language Technologies Institute, Carnegie Mellon University
1/2019 Amazon Research Award
5/2018 Speaking at the Stanford NLP Seminar
12/2017, Talk at the NeurIPS workshop on Learning with Limited Labeled Data
7/2017 Interview on Data-Driven Conversational Agents
7/2017 Talk at the Microsoft Research Faculty Summit
6/2017 Speaking at the Midwest Machine Learning Symposium
Visiting researcher, Microsoft Research NLP Group August 2015.
Talk at Carnegie Mellon University.

Media Coverage:

2/2023 Quoted on the costs of large language models in Bloomberg.
Our EMNLP paper investigating neural chatbots' stance towards toxic comments was covered by TNW.
WIRED article covering our NAACL paper on analyzing percieved servierity of software vulerabilities reported on social media.

Teaching:

CS 7650: Natural Language Processing (Spring 2023)
CS 4650: Natural Language Processing (Fall 2022)
CS 7650: Natural Language Processing (Spring 2022)
CS 4641: Machine Learning (Fall 2021)

Recent Service:

Demo Chair, ACL 2023
Area Chair, ACL 2023, Information Extraction
Senior Area Chair, EMNLP 2022, Information Extraction
Senior Program Committee, AAAI 2022
Senior Area Chair, ACL 2022, Information Extraction
Senior Area Chair, EMNLP 2021, Computational Social Science
Area chair, ACL 2021, Information Extraction
Senior Area Chair, NAACL 2021, Machine Learning for NLP: Classification and Structured Prediction Models
Senior Area Chair, EMNLP 2020, Information Extraction
Area chair, AKBC 2020
Area chair, ACL 2020, Information Extraction
Area chair, EMNLP 2019, Social Media and Computational Social Science
Area chair, ACL 2019, Information Extraction and Text Mining

Ph.D. Students:

Undergraduate Researchers:

Ethan Mendes
Vedaant Shah

Alumni:

Ashutosh Baheti (MS - 2020, Ohio State University)
Sandesh Swamy (MS - 2017, Ohio State University, co-advised with Marie-Catherine de Marneffe)
Jeniya Tabassum (Ph.D. - 2020, Ohio State University, co-advised with Wei Xu)
Shi Zong (Ph.D. - 2020, Ohio State University)