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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. Prospective Students: 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. You are welcome to send me email regarding your application if you like, but be aware that I might not reply - I receive many of these emails and unfortunately I don't have time to respond to each applicant individually :( |
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News:
- 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 7650: Natural Language Processing (Spring 2022)
- CS 4641: Machine Learning (Fall 2021)
Recent Service:
- 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:
- Ashutosh Baheti
- Fan Bai
- Yang Chen
- Ruohao Guo
- Nghia (Max) Le
- Shuheng Liu
- Ethan Mendes
Alumni:
- 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)