Sheena Panthaplackel
Ph.D. Student
Facilitating Software Evolution through Natural Language Comments and Dialogue 2022
Sheena Panthaplackel, PhD Thesis, Department of Computer Science, UT Austin.
Learning to Describe Solutions for Bug Reports Based on Developer Discussions 2022
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney, In Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
Updated Headline Generation: Creating Updated Summaries for Evolving News Stories 2022
Sheena Panthaplackel, Adrian Benton, Mark Dredze, In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, May 2022.
Using Developer Discussions to Guide Fixing Bugs in Software 2022
Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney, In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), December 2022.
Copy That! Editing Sequences by Copying Spans 2021
Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt, In The AAAI Conference on Artificial Intelligence (AAAI), February 2021.
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code 2021
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney, In The AAAI Conference on Artificial Intelligence (AAAI), Vol. arXiv:2010.01625, February 2021.
Facilitating Software Evolution through Natural Language Comments and Dialogue 2021
Sheena Panthaplackel, Ph.D. Proposal.
Associating Natural Language Comment and Source Code Entities 2020
Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney and Junyi Jessy Li, In The AAAI Conference on Artificial Intelligence (AAAI), February 2020.
Learning to Update Natural Language Comments Based on Code Changes 2020
Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, and Raymond J. Mooney, In Proceedings of the 58th Annual Conference of the Association for Computational Linguistics (ACL), July 2020.
Currently affiliated with Machine Learning