'labels=['business','art & culture','politics']# run inputs through model and mean-pool over the sequence# dimension to get sequence-level representationsinputs=tokenizer.batch_encode_plus([sentence]+labels,return_tensors='pt',pad_to_max_length=True)input_ids=inputs['input_ids']attention_...
NLP领域近年来发展迅速，重点研究利用互联网上大量未标注数据的高效机器学习方法。无监督模型，例如BERT，通过迁移学习超越了所有下游需要监督学习的任务的基准。当前研究目标在于开发新的模型架构和无监督学习策略，特别是对于标注数据充足的任务，SOTA模型仍处于快速发展阶段。模型发展的一个显著优势在于，对大量...
【现代NLP的零样本学习】《Zero-Shot Learning in Modern NLP》by Joe Davison http://t.cn/A62ayPsi
In the modern NLP context, language models can be evaluated on downstream tasks without fine tuning. Benchmark datasets for zero-shot learning include [aPY](/dataset/apy), [AwA](/dataset/awa2-1), and [CUB](/dataset/cub-200-2011), among others. ( Image credit: [Prototypical Networks ...
Zero-Shot Learning in Modern NLP Of course, some research has in fact been done in this area. In this post, I will present a few techniques, both from… joeddav.github.io http://huggingface.com/zero-shot/ Example implementaton of zero-shot text classificationEdit description ...
Zero-Shot LearningThough there are various definitions of zero-shot learning, it can broadly be speaking defined as a regime in which a model solves a task it was not explicitly trained on before. It is important to understand, that a “task” can be defined in a broader and narrower ...
Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare’s increasing cost and complexity. We introduce the Enhanced Transformer for Health Outcome Simulation (ETHOS), a novel application of the transformer deep-learning architecture for analyzing high-di...
Therefore, automatic poem generation is an important research issue that has attracted the interest of the Natural Language Processing (NLP) community. Several researchers have examined automatic poem generation using deep-learning approaches, but little has focused on Arabic poetry. In this work, we ...
These models have outperformed prior algorithms in terms of generalization and zero-shot learning. Consequently, they offer an effective approach to performing zero-shot learning for language understanding. Furthermore, by leveraging pretrained language models in the schema-guided paradigm, dialogue systems...