Papers by Lucia Siciliani
From Detection to Explanation: Effective Learning Strategies for LLMs in Online Abusive Language Research (2025.coling-main)
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Chiara Di Bonaventura, Lucia Siciliani, Pierpaolo Basile, Albert Merono Penuela, Barbara McGillivray
| Challenge: | Abusive language detection requires commonsense reasoning, world knowledge and linguistic nuances that evolve over time. |
| Approach: | They propose a knowledge-guided version of Llama-2 instruction fine-tuned for multi-class abusive language detection and explanation generation that mitigates bias and generates explanations that are relevant to the text and coherent with human reasoning. |
| Outcome: | The proposed model mitigates bias and generates explanations that are relevant to the text and coherent with human reasoning, with an average 48.76% better alignment with human judgment. |
XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE (2023.acl-short)
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| Challenge: | Existing approaches to the Word in Context task use cross-encoders, which prevent the possibility of deriving comparable word embeddings. |
| Approach: | They propose a Lexical Semantic Change Detection model that extends SBERT, highlighting the target word in the sentence. |
| Outcome: | The proposed model outperforms the state-of-the-art on the multilingual benchmarks for SemEval-2020 Task 1 - Lexical Semantic Change (LSC) Detection and the RuShiftEval shared task. |