Papers by Soda Lo
Confidence-based Ensembling of Perspective-aware Models (2023.emnlp-main)
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Silvia Casola, Soda Lo, Valerio Basile, Simona Frenda, Alessandra Cignarella, Viviana Patti, Cristina Bosco
| Challenge: | Human label variability has been a topic of research in the field of NLP recently . Exploiting disagreements in annotations has been shown to offer advantages for accurate modelling and fairer evaluation. |
| Approach: | They propose a highly perspectivist model that exploits disagreements in annotations to capture the subjectivity encoded in the annotation process. |
| Outcome: | The proposed model is validated on irony and hate speech detection scenarios in in-domain and cross-domain settings. |