A joint model of XLM-R embeddings and a CNN classifier reaches 82.78% F1 on Vietnamese NLI, but the claimed consistent superiority over fine-tuned baselines is not supported by the paper's own results.
In: The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, Proceedings 15, pp
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Transformer-Based Contextualized Language Models Joint with Neural Networks for Natural Language Inference in Vietnamese
A joint model of XLM-R embeddings and a CNN classifier reaches 82.78% F1 on Vietnamese NLI, but the claimed consistent superiority over fine-tuned baselines is not supported by the paper's own results.