DuoNova@LTEDI 2026: Multilingual Span Detection and Counter-Narrative Generation on Homophobic and Transphobic Comments
Year: 2026
Type: conference-paper
Abstract: The detection and response to homophobic and transphobic comments are important challenges in Natural Language Processing.In this paper, we focus on the detection of span for homophobic and transphobic comments (Task 1) and generation of counter narratives for abusive comments (Task 2) for the LT-EDI @ ACL 2026 shared task.Harmful comments made online against the LGBTQ+ community have created a hostile environment for users.In this paper, we have used the transformer model for the detection of span for homophobic and transphobic comments and generation of counter narratives.In this task, the detection of the span of comments containing homophobic and transphobic words and the generation of counter narratives for abusive comments have been done using the transformer model.The results show the efficiency of the transformer model in the detection of the span of comments and generation of counter narratives.This paper emphasizes the efficiency of the transformer model in creating a safe environment for users.
Authors: Manasa S, Arohi Rawat, Anbukkarasi Sampath
Institution: Manipal Academy of Higher Education
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Reduced inequalities
Open Access status: hybrid
OpenAlex ID: W7166886969