Results 11 to 20 of about 8,388 (214)
LV-BERT: Exploiting Layer Variety for BERT [PDF]
Accepted to Findings of ACL 2021.
Weihao Yu 0001 +4 more
openaire +2 more sources
BERT-ATTACK: Adversarial Attack Against BERT Using BERT [PDF]
Accepted by ...
Linyang Li +4 more
openaire +2 more sources
BERT-hLSTMs: BERT and hierarchical LSTMs for visual storytelling [PDF]
Visual storytelling is a creative and challenging task, aiming to automatically generate a story-like description for a sequence of images. The descriptions generated by previous visual storytelling approaches lack coherence because they use word-level sequence generation methods and do not adequately consider sentence-level dependencies.
Jing Su 0006 +3 more
openaire +3 more sources
Animals cannot produce β-carotene, and therefore they exclusively depend on its dietary availability. We previously showed that a 9-cis β-carotene-enriched diet, provided as Dunaliella powder, has a beneficial effect on atherosclerosis and diabetes ...
Shahar Delman +7 more
doaj +1 more source
A Lite Romanian BERT: ALR-BERT
Large-scale pre-trained language representation and its promising performance in various downstream applications have become an area of interest in the field of natural language processing (NLP). There has been huge interest in further increasing the model’s size in order to outperform the best previously obtained performances.
Dragos Constantin Nicolae +2 more
openaire +3 more sources
Vitamin A and provitamin A carotenoids are involved in the regulation of adipose tissue metabolism and inflammation. We examined the effect of dietary supplementation using all-trans and 9-cis β-carotene-rich Dunaliella bardawil alga as the sole source ...
Nir Melnikov +7 more
doaj +1 more source
FinEst BERT and CroSloEngual BERT [PDF]
Large pretrained masked language models have become state-of-the-art solutions for many NLP problems. The research has been mostly focused on English language, though. While massively multilingual models exist, studies have shown that monolingual models produce much better results.
Ulčar, Matej, Robnik-Šikonja, Marko
openaire +3 more sources
I-BERT: Integer-only BERT Quantization
Transformer based models, like BERT and RoBERTa, have achieved state-of-the-art results in many Natural Language Processing tasks. However, their memory footprint, inference latency, and power consumption are prohibitive efficient inference at the edge, and even at the data center.
Sehoon Kim 0001 +4 more
openaire +3 more sources
LIMIT-BERT : Linguistics Informed Multi-Task BERT [PDF]
EMNLP 2020, ACL ...
Junru Zhou +3 more
openaire +2 more sources
Instructional Design Framework for Construction Materials Training
The construction industry is suffering, in part, from a lack of training programs offered to the construction workforce. Unfortunately, most construction training and education research focuses on university student education.
Hazem Jadallah +5 more
doaj +1 more source

