By arXiv.org -
2020-10-08
Whilst there has been growing progress in Entity Linking (EL) for general
language, existing datasets fail to address the complex nature of health
terminology in layman's language. Meanwhile, there is ...
By The Stack -
2020-12-18
The push to remote work has sharpened a shift to the cloud. But what about getting workloads off mainframes? We spoke with one of the...
By arXiv.org -
2020-10-23
The recent "Text-to-Text Transfer Transformer" (T5) leveraged a unified
text-to-text format and scale to attain state-of-the-art results on a wide
variety of English-language NLP tasks. In this paper, ...
By stanford -
2020-10-13
AI and ML products now permeate every aspect of our digital lives–from recommendations of what to watch, to divining our search intent, to powering increasingly-present virtual assistants in consumer
By arXiv.org -
2020-10-08
Multilingual pre-trained Transformers, such as mBERT (Devlin et al., 2019)
and XLM-RoBERTa (Conneau et al., 2020a), have been shown to enable the
effective cross-lingual zero-shot transfer. However, t ...
By datasciencecentral -
2020-11-24
Abstract – Big data helps to make strategy for future and understand user behaviors. In 1959, Arther Samuel gave very simple definition of Machine Learning as…
