Code nlpgnn Package description The field of natural language processing is currently undergoing tremendous changes, and many excellent models have been proposed in recent years, including BERT, GPT, etc. At the same time, graph neural network as an exquisite design is constantly being used in the...
We open-source our pretrained models and code. 归纳迁移学习在CV领域大放异彩,但并未广泛应用于NLP领域,NLP领域的现有方法仍然需要针对特定任务进行模型修改并从头开始训练。 因此本文提出了通用语言模型微调(Universal Language Model Fine-tuning ,ULMFiT),一种可以应用于NLP中任何任务的高效率迁移学习方法,并介绍...
We release our models and code. 主要贡献:更多训练数据、更大batch size、训练时间更长;去掉NSP;训练序列更长;动态调整Masking机制,数据copy十份,每句话会有十种不同的mask方式。 语言模型预训练已经导致了显著的性能提高,但仔细比较不同的方法是具有挑战性的。训练的计算开销很大,通常是在不同大小的私有数据...