Vincent Ng
Vincent Ng is a computer scientist at the University of Texas at Dallas who works on machine learning for natural language, with coreference resolution among his research topics. After a B.S. in computer science at Carnegie Mellon in 1997, he earned a Ph.D. at Cornell in 2004 and became an assistant professor at UT Dallas in 2004, then a professor in 2017. In 2002 he coauthored a paper on coreference resolution with Claire Cardie, and in 2019 he served as a program co-chair of EMNLP-IJCNLP in Hong Kong. He received ACM SIGSOFT Distinguished Paper Awards at ESEC/FSE in 2019 and at ICSE in 2024, and the Blue Sky Idea Award at AAAI-20 in 2020. He is a professor of computer science at UT Dallas, an Editor-in-Chief of ACL Rolling Review, and director of the Computer Science Computing Scholars program.
- Now at
- University of Texas at Dallas and ACL Rolling Review
- Works
- 426
- Citations
- 12,578
- h-index
- 46
- Badges
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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1997–2004
From Carnegie Mellon to Cornell
He earns a B.S. in computer science at Carnegie Mellon University in 1997 and a Ph.D. in computer science at Cornell University in 2004. His doctoral ancestry begins with Claire Cardie (1994), followed by Wendy Lehnert (1977) and Roger Schank (1969).
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2002
A coreference resolution paper
In 2002, he coauthors "Improving Machine Learning Approaches to Coreference Resolution" with Claire Cardie, published in the proceedings of the 40th Annual Meeting of the Association for Computational Linguistics in Philadelphia.
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2004–2017
From assistant to full professor
He joins UT Dallas's Erik Jonsson School of Engineering and Computer Science as an assistant professor in 2004, becomes an associate professor in 2011, and a professor in 2017. His research area is machine learning of natural language, and his group works on automated essay scoring, AI for law, AI for software engineering, opinion and argumentation mining, and anaphora and coreference resolution.
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2018–2019
Program co-chair of EMNLP-IJCNLP
He is a program co-chair of NLPCC 2018. In 2019, he is a program co-chair of EMNLP-IJCNLP in Hong Kong, together with Jing Jiang and Xiaojun Wan.
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2019–2020
Software and AI paper awards
In 2019, he works with Andrian Marcus on a tool that gives users feedback on the quality of their bug reports, and the work wins an ACM SIGSOFT Distinguished Paper Award at ESEC/FSE. In 2020, he receives the AAAI-20 Blue Sky Idea Award from the Computing Community Consortium, and publishes 'Unveiling Hidden Intentions' with Gerardo Ocampo Diaz in the Blue Sky Papers of AAAI-20, proposing the task of hidden message and intention identification.
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2023
Editor-in-Chief of ACL Rolling Review
In 2023, he becomes an Editor-in-Chief of ACL Rolling Review. He is also an associate editor of the journal Artificial Intelligence from 2021 and an action editor of Transactions of the ACL from 2020.
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2024
An ICSE distinguished paper
At ICSE in 2024, he receives an ACM SIGSOFT Distinguished Paper Award, the same award he received at ESEC/FSE in 2019.
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As of October 2026
Professor and honors program director
He is a professor of computer science at the University of Texas at Dallas and is affiliated with its Human Language Technology Research Institute. In 2022, he becomes director of the Computer Science Computing Scholars (CS2) program, and he remains an Editor-in-Chief of ACL Rolling Review.
Career
- Since 2023ACL Rolling ReviewEditor-in-Chief
- Since 2004University of Texas at DallasAssistant Professor, Associate Professor
- 1991–2004Hong Kong Polytechnic University
Education
- 2004Cornell UniversityPh.D. in computer science
- 1997Carnegie Mellon UniversityB.S. in computer science
Sources and credits
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- Vincent Ng - UT Dallas Profiles
- Vincent Ng
- Improving Machine Learning Approaches to Coreference Resolution - ACL Anthology
- EMNLP-IJCNLP 2019 | ACL Member Portal
- Drs. Andrian Marcus and Vincent Ng Create Automated System for Improving Computer Bug Reports - Computer Science | The University of Texas at Dallas
- Unveiling Hidden Intentions | Proceedings of the AAAI Conference on Artificial Intelligence
- ARR Team – ACL Rolling Review



