Kevin Stowe

• Resume
• CV
• Google Scholar
• kevincstowe@gmail.com

• About
• Research
• Projects
• Teaching
• Publications
• Personal

For a full list, my Google Scholar page is (mostly) accurate.

Fairness/bias/responsible AI

• (2026) Identifying Bias in Machine-Generated Text Detection. K. Stowe, S. Afanaseva, R. Raimundo, Y. Sun, K. Patil. Accepted to ACL Main Conference 2026.
• (2026) Spotlights and Blindspots: Evaluating Machine-Generated Text Detection. K. Stowe and K. Patil. Language Resources and Evaluation (LREC) 2026
• (2024) Identifying Fairness Issues in Automatically Generated Testing Content. K. Stowe, B. Longwill, A. Francis, T. Aoyama, D. Ghosh, S. Somasundaran. Building Educational Applications 2024

Natural Language Generation

• (2022) Controlled Language Generation for Language Learning Items. K. Stowe*, D. Ghosh*, Mengxuan Zhao. Industry Track, EMNLP 2022
• (2021) Metaphor Generation with Conceptual Mappings, K. Stowe, T. Chakrabarty, N. Peng, S. Muresan, I. Gurevych. ACL 2021
• (2021) Exploring Metaphoric Paraphrase Generation, K. Stowe, N. Beck, I. Gurevych. CoNLL 2021

Figurative Language Processing

• (2024) Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing. S. Ahmed, Z. Wang, G. Baker, K. Stowe, J. Martin. ACL 2024
• (2022) IMPLI: Investigating NLI Model Performance on Figurative Language, K. Stowe, P. Utama, I. Gurevych. ACL.
• (2019) Syntactic and Semantic Improvements to Computational Metaphor Processing. K. Stowe. Dissertation. advs. Martha Palmer & Jim Martin.
• (2019) Linguistic Analysis Improves Metaphor Detection, K. Stowe, S. Moeller, L. Michaelis, M. Palmer. CoNLL
• (2018) Leveraging Syntactic Constructions for Metaphor Identification, K. Stowe, M. Palmer. Workshop on Figurative Language Processing.

Crisis Informatics

• (2023) Lessons Learned from a Citizen Science Project for Natural Language Processing J. Klie, J. Lee, K. Stowe, G. Sahin, N. Moosavi, L. Bates, D. Petrak, R. de Castilho, I. Gurevych. EACL
• (2018) Developing and evaluating annotation procedures for twitter data during hazard events, K. Stowe, M. Palmer, J. Anderson, M. Kogan, L. Palen, K. M. Anderson, R. Morss, J. Demuth, H. Lazrus. Joint Workshop on Linguistic Annotation, Multiword Expressions, and Constructions (LAW-MWE-CxG).
• (2018) Improving classification of twitter behavior during hurricane events. K. Stowe, J. Anderson, M. Palmer, L. Palen, KM. Anderson. Sixth International Workshop on NLP for Social Media.