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.
Natural Language Engineering 25, 1–26 (2019)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.