Paraphrase generation is an important task that has received a great deal of interest recently. Proposed data-driven solutions to the problem have ranged from simple approaches that make minimal use of NLP tools to more complex approaches that rely on numerous language-dependent resources. Despite all of the attention, there have been very few direct empirical evaluations comparing the merits o...

There is the need for further defining the term precision medicine due to lack of its authoritative or official definition. After head-to-head comparison of all existing terms and their definitions, the term precision medicine is more frequently used in basic and clinical medicine, because it may best reflect the whole profile of all relevant terms, with something new or different from others. ...

AbstractRecently low-precision deep learning accelerators (DLAs) have become popular due to their advantages in chip area and energy consumption, yet the quantized models on these DLAs bring severe accuracy degradation. One way achieve both high efficient inference is deploy high-precision neural networks DLAs, which rarely studied. In this paper, we propose PArallel Low-precision Quantization ...

Precision medicine, incorporating personalized medicine, is an emerging medical model that holds great promise for improving the prevention, diagnosis and treatment of many diseases. The future success of precision medicine, however, depends on the establishment of large databases that collate diverse data, including family genealogies, disease histories, drug sensitivities and genomic data. He...