Aaron Maladry

Maladry, Aaron, et al. “The Limitations of Irony Detection in Dutch Social Media.” LANGUAGE RESOURCES AND EVALUATION, 2023, doi:10.1007/s10579-023-09656-1.

Maladry, Aaron, et al. “A Fine Line Between Irony and Sincerity: Identifying Bias in Transformer Models for Irony Detection.” Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, edited by Orphée De Clercq et al., Association for Computational Linguistics (ACL), 2023, pp. 315–24.

Singh, Pranaydeep, et al. “Too Many Cooks Spoil the Model : Are Bilingual Models for Slovene Better than a Large Multilingual Model?” Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023, edited by Jakub Piskorski et al., Association for Computational Linguistics, 2023, pp. 32–39.

Maladry, Aaron, et al. “Irony Detection for Dutch : A Venture into the Implicit.” Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, edited by Jeremy Barnes et al., Association for Computational Linguistics (ACL), 2022, pp. 172–81, doi:10.18653/v1/2022.wassa-1.16.

Singh, Pranaydeep, et al. “Combining Language Models and Linguistic Information to Label Entities in Memes.” Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations, Association for Computational Linguistics (ACL), 2022, pp. 35–42.