13 papers
Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit
Dimosthenis Antypas, Christian Arnold, Nedjma Ousidhoum +2
Political debates on social media often escalate quickly, leading to increased engagement as well as more emotional and polarised exchanges. Trigger points (Mau, Lux, and Westheuse…
Exploring State Tracking Capabilities of Large Language Models
Kiamehr Rezaee, Jose Camacho-Collados, Mohammad Taher Pilehvar
Large Language Models (LLMs) have demonstrated impressive capabilities in solving complex tasks, including those requiring a certain level of reasoning. In this paper, we focus on…
Pun Unintended: LLMs and the Illusion of Humor Understanding
Alessandro Zangari, Matteo Marcuzzo, Andrea Albarelli +2
Puns are a form of humorous wordplay that exploits polysemy and phonetic similarity. While LLMs have shown promise in detecting puns, we show in this paper that their understanding…
MORABLES: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables
Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli +2
As LLMs excel on standard reading comprehension benchmarks, attention is shifting toward evaluating their capacity for complex abstract reasoning and inference. Literature-based be…
Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation
Dimosthenis Antypas, Indira Sen, Carla Perez-Almendros +2
The detection of sensitive content in large datasets is crucial for ensuring that shared and analysed data is free from harmful material. However, current moderation tools, such as…
MetaphorShare: A Dynamic Collaborative Repository of Open Metaphor Datasets
Joanne Boisson, Arif Mehmood, Jose Camacho-Collados
The metaphor studies community has developed numerous valuable labelled corpora in various languages over the years. Many of these resources are not only unknown to the NLP communi…