Pascale Sébillot

A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference

2021 · 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Attention maps in neural models for NLP are appealing to explain the decision made by a model, hopefully emphasizing words that justify the decision. While many empirical studies hint that attention maps can provide such …