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Alan RitterAssociate ProfessorSchool 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. This includes algorithms that learn to read with minimal supervision, along with new applications that can benefit society. 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. |
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News:
- 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
- Our EMNLP paper investigating neural chatbots' stance towards toxic comments was covered by TNW
- 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
- WIRED article covering our work on using NLP to identify and prioritize new software vulnerabilities
- 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.
Teaching:
- CS 4650: Natural Language Processing (Fall 2022)
- CS 7650: Natural Language Processing (Spring 2022)
- CS 4641: Machine Learning (Fall 2021)
Recent Service:
- Demo Co-Chair, ACL 2023
- 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:
- Fan Bai
- Yang Chen
- Ruohao Guo
- Junmo Kang
- Nghia (Max) Le
- Shuheng Liu
- Ethan Mendes
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)