“Bert and Ernie are best friends. They were created to teach preschoolers that people can be good friends with those who are very different from themselves,” Sesame Workshop saidin a statement toTHR at the time.“Even though they are identified as male characters and possess many human trai...
BERT:https://arxiv.org/abs/1810.04805 ERNIE:https://arxiv.org/abs/1904.09223 Grover:https:/...
BERT以及预训练模型例如ELMO,GPT等出色的表现轰动了自然语言处理领域,现如今有很多的学者和机构基于Transformer及BERT提出更强大的模型,例如百度及清华分别提出的ERNIE模型,这两个同名模型均将知识图谱信息(Knowledge Graph)融入BERT,使得BERT在大规模先验知识的加成下表现更进一步,又如Google最近提出的基于 Autogressive Model...
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ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval Document Ranking with a Pretrained Sequence-to-Sequence Model A Neural Corpus Indexer for Document Retrieval COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized ...
Ernie Struthers 1 The Time Tunnel(1966) Antony Ponzini Curt Haman 1 Friday the 13th: The Final Chapter(1984) Allen Williams Ben Riley 1 Lou Grant(1977) Carmen Argenziano Armond Rocco 1 Identity(2003) Altovise Davis Gittle 1 Kingdom of the Spiders(1977) ...
论文地址:https://arxiv.org/abs/1909.11942v1 代码地址: ABSTRACT 提出减少BERT参数的方法,我们还使用了一个自我监督 loss,专注于建模句间连贯focuses on modeling inter-sentence coherence,并表明它始终有助于
BERT之后,许多NLP架构、训练方法与语言模型如雨后春笋般涌现,比如谷歌的TransformerXL、OpenAI’s GPT-2、 XLNet、ERNIE2.0、 RoBERTa等。 注:在这篇文章中,我会提及许多Transformer的内容,如果你对Transformer不了解的话,可以先看看这篇文章——How do Transformers Work in NLP? A Guide to the Latest State-of-...
BERT has inspired many recent NLP architectures, training approaches and language models, such as Google’s TransformerXL, OpenAI’s GPT-2, XLNet, ERNIE2.0, RoBERTa, etc. I aim to give you a comprehensive guide to not only BERT but also what impact it has had and how this is going to ...
ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding Recently pre-trained models have achieved state-of-the-art results in various language understanding tasks. Current pre-training procedures usually focus on training the model with several simple tasks to grasp the co-occurrence ...