Fine-tuning Neural Language Models for Multidimensional Opinion Mining of English-Maltese Social Data. - Keith Cortis; Kanishk Verma; Brian Davis 001 (RANLP, 2021)

Implicit Aspect-Based Opinion Mining and Analysis of Airline Industry Based on User-Generated Reviews. - Kanishk Verma; Brian Davis 001 (SN Comput. Sci., 2021)

DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability. - Kanishk Verma; Kolawole Adebayo; Joachim Wagner 001; Brian Davis 001 (SemEval@ACL, 2023)

Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents. - Kanishk Verma; Maja Popovic; Alexandros Poulis; Yelena Cherkasova; Cathal Ó Hóbáin; Angela Mazzone; Tijana Milosevic; Brian Davis 001 (Nat. Lang. Eng., 2023)

Beyond Binary: Towards Embracing Complexities in Cyberbullying Detection and Intervention - a Position Paper. - Kanishk Verma; Kolawole John Adebayo; Joachim Wagner 001; Megan Reynolds; Rebecca Umbach; Tijana Milosevic; Brian Davis 001 (LREC/COLING, 2024)

From Users to Co-Designers: Youth Participation in Understanding Cyberbullying. - Kanishk Verma; Brian Davis 001; Tijana Milosevic; Rebecca Umbach (IDC, 2025)