Furthermore, this work examines the strategy of combining static, character and contextual word embeddings to obtain richer representations for the Arabic Machine Translation (MT) task. To the best of our knowledge, we are the first to investigate the combination of static word embeddings, ...
(https://github.com/grottoh/wta-network)**|\n", "2308.15150": "|**2023-08-29**|**Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding**|Xinyi Chen et.al.|[2308.15150v1](http://arxiv.org/abs/2308.15150v1)|null|\n", "2308.15122": "|...
A processor receives pretrained contextual embeddings from a contextual embeddings model. A processor maps the true vulnerabilities and the false vulnerabilities to the pretrained contextual embeddings model. A processor generates a fine-tuned model with classifications for true vulnerabilities.SAURABH PUJAR...