11 citations · 23 across the 4 of their papers we have counts for
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cs.CL2022★ 2 cited
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Pierre Colombo, Eduardo D. C. Gomes, Guillaume Staerman +2
Deep learning methods have boosted the adoption of NLP systems in real-life applications. However, they turn out to be vulnerable to distribution shifts over time which may cause s…
cs.CL2021★ 11 cited
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Pierre Colombo, Guillaume Staerman, Chloe Clavel +1
A new metric \texttt{BaryScore} to evaluate text generation based on deep contextualized embeddings e.g., BERT, Roberta, ELMo) is introduced. This metric is motivated by a new fram…