7 papers
CLaC at SemEval-2026 Task 6: Response Clarity Detection in Political Discourse
Nawar Turk, Lucas Miquet-Westphal, Leila Kosseim
In this paper, we present our system for SemEval-2026 Task 6 (CLARITY) on response clarity and evasion detection in question-answer pairs from U.S. presidential interviews, compari…
Low-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-Study
Eeham Khan, Firas Saidani, Owen Van Esbroeck +2
Despite the widespread adoption of Large Language Models (LLMs), their strongest capabilities remain largely confined to a small number of high-resource languages for which there i…
On the Influence of Discourse Relations in Persuasive Texts
Nawar Turk, Sevag Kaspar, Leila Kosseim
This paper investigates the relationship between Persuasion Techniques (PTs) and Discourse Relations (DRs) by leveraging Large Language Models (LLMs) and prompt engineering. Since…
CLaC at DISRPT 2025: Hierarchical Adapters for Cross-Framework Multi-lingual Discourse Relation Classification
Nawar Turk, Daniele Comitogianni, Leila Kosseim
We present our submission to Task 3 (Discourse Relation Classification) of the DISRPT 2025 shared task. Task 3 introduces a unified set of 17 discourse relation labels across 39 co…
Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learning
Nelson Filipe Costa, Leila Kosseim
This paper introduces the first multi-lingual and multi-label classification model for implicit discourse relation recognition (IDRR). Our model, HArch, is evaluated on the recentl…
A Multi-Task and Multi-Label Classification Model for Implicit Discourse Relation Recognition
Nelson Filipe Costa, Leila Kosseim
We propose a novel multi-label classification approach to implicit discourse relation recognition (IDRR). Our approach features a multi-task model that jointly learns multi-label r…