Source: DeepHub IMBA This article is about 2700 words long and suggests a reading time of 9 minutes. This article takes you into the details of Distil and provides a complete code implementation. This article provides a detailed introduction to DistilBERT and gives a complete code implementation. Machine learning models have become increasingly large, and … Read more
Author: Dale Markowitz Translation: Wang Kehan Proofreading: He Zhonghua This article is approximately 3800 words long and is recommended to be read in 5 minutes This article introduces the currently most popular language model in natural language processing—the Transformer model. Tags: Natural Language Processing Do you know this saying: When you have a hammer, everything … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) is one of the largest natural language processing communities in China and abroad, gathering over 500,000 subscribers, with an audience that includes NLP graduate students, university professors, and researchers from enterprises. The vision of the community is to promote communication and progress among the academic and industrial circles … Read more
Follow the official account “ML_NLP“ Set it as “Starred“, delivering heavy content immediately! Source｜PaperWeekly ©PaperWeekly Original · Author｜Su Jianlin Unit｜Zhuiyi Technology Research Direction｜NLP, Neural Networks As we all know, GPT-3 is currently very popular, however, everywhere we see promotions for GPT-3, do readers remember the name of the GPT-3 paper? In fact, the paper is … Read more
Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content to you first! From | Zhihu Address | https://zhuanlan.zhihu.com/p/144995580 Author | Ye Chen Editor | Simple AI Text correction is a technology in the field of natural language processing that detects whether a piece of text contains typos and corrects them. It is generally … Read more
Authors: Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu This article is about1800 words, recommended reading time5 minutes. This article introduces the “Patient Knowledge Distillation” model. Data Department THU backend reply“191010”, get the paper address. In the past year, there have been many groundbreaking advances in language model research, such as GPT generating sentences that … Read more
Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered at the first time! Source | Big Data Digest Translation | Ao🌰viYa, Meat Bun, Andy This article by Denny Britz summarizes the important ideas in deep learning over time, recommended for newcomers, listing almost all the key ideas since 2012 that have supported … Read more
Delivering NLP technology insights to you every day! Source: Alchemy Notes Author: SinGaln This is a paper from ACL 2022. The overall idea is to use a dual tower BERT model based on meta-learning to encode text tokens and their corresponding labels separately, and then perform a classification task using the output obtained from their … Read more
Delivering NLP technology insights to you every day! From: MyEncyclopedia In this issue, we continue from the last issue on BERT Chinese short sentence similarity calculation Docker CPU image, continuing to use huggingface transformer and sentence-transformer libraries, generating BERT embeddings for English sentences, and then introducing the faiss library to establish an index and finally … Read more
This article is reproduced from:NLP Intelligence Bureau Since Google introduced the pre-trained language model BERT, various applications of language models have emerged. However, most models were proposed in English contexts, and their performance often declines to varying degrees when transferred to Chinese contexts. Previously, my friends and I participated in the CCKS machine reading comprehension … Read more