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2020年7月31日 — Pre-trained models are super simple to incorporate and don't require much-labelled data to work with, which makes it versatile for many business ...

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A pre-trained model is a model created and trained by someone else to solve a similar problem. In practice, someone is almost always a tech giant or a group of ...
2020年8月12日 — 1. BERT (Bidirectional Encoder Representations from Transformers). BERT is a technique for NLP pre-training, developed by Google. · 2. RoBERTa ( ...
作者:X Qiu2020被引用次数:185 — Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era. In this survey, we provide a ...
Journal reference: SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897
2019年3月18日 — This rapid increase in NLP adoption has happened largely thanks to the concept of transfer learning enabled through pretrained models.
2020年3月18日 — Introduction · The Pretrained Models for Text Classification we'll cover: · Pretrained Model #1: XLNet · Pretrained Model #2: ERNIE · Pretrained ...
作者:XP Qiu2020被引用次数:185 — Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era. In this survey, we provide ...
That is why AI developers and researchers swear by pre-trained language models. These models utilize the transfer learning technique for training wherein a ...
4天前 — Transformers provides a suite of pre-trained deep learning NLP models across different NLP tasks such as text classification, question answering ...
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators — BERT: Pre-training of Deep Bidirectional Transformers for Language ...

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