37 citations · 83 across the 13 of their papers we have counts for
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cs.AI2022
Argumentative Explanations for Pattern-Based Text Classifiers
Piyawat Lertvittayakumjorn, Francesca Toni
Recent works in Explainable AI mostly address the transparency issue of black-box models or create explanations for any kind of models (i.e., they are model-agnostic), while leavin…
cs.CL2022★ 12 cited
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva +3
Unlike classical lexical overlap metrics such as BLEU, most current evaluation metrics (such as BERTScore or MoverScore) are based on black-box language models such as BERT or XLM-…