Author | mantch Reprinted from WeChat Official Account | AI Technology Review 1. What is XLNet XLNet is a model similar to BERT, rather than a completely different model. In short, XLNet is a general autoregressive pre-training method. It was released by the CMU and Google Brain teams in June 2019, and ultimately, XLNet outperformed … Read more
Follow the official account “ML_NLP“ Set as “Starred“, heavy content delivered instantly! Reprinted from｜PaperWeekly ©PaperWeekly Original · Author｜Xiong Zhiwei School｜Tsinghua University Research Direction｜Natural Language Processing BERT has gained significant success and attention since its introduction in 2018. Based on this, various related models have been proposed in academia to improve BERT. This article attempts to … Read more
Click on the above “MLNLP” to select the “Star” public account Heavyweight content delivered at the first time Reprinted from the public account: AI Technology Review Introduction:Which is stronger, BERT, RoBERTa, DistilBERT, or XLNet?Choosing among different research fields and application scenarios has become a big challenge.Don’t panic, this article will help you clarify your thoughts. … Read more
Author丨JayLou Zhihu Column丨High-energy NLP Journey Address丨https://zhuanlan.zhihu.com/p/76912493 This article summarizes and compares pre-trained language models in NLP in a Q&A format, covering three main aspects and the following models: Unidirectional feature representation autoregressive pre-trained language models, collectively referred to as unidirectional models: ELMO/ULMFiT/SiATL/GPT1.0/GPT2.0; Bidirectional feature representation autoencoding pre-trained language models, collectively referred to as BERT series … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first! Written by | Lao Tao (Researcher from a certain company, hereditary parameter tuning) Translated by | Beautiful person with meticulous thoughts Introduction As the hottest topic in NLP over the past two years, the language pre-training technologies represented by ELMo/BERT are already familiar … Read more
Authorized Reprint from Microsoft Research AI Headlines Since BERT was published on arXiv, it has gained significant success and attention, opening the Pandora’s box of 2-Stage in NLP. Subsequently, a large number of pre-trained models similar to “BERT” have emerged, including the generalized autoregressive model XLNet that introduces bidirectional context information from BERT, as well … Read more
Planning | Liu Yan Author | Suleiman Khan Translation | Nuclear Cola Editor | Linda AI Frontline Overview: Google BERT and other transformer-based models have recently swept the entire NLP field, significantly surpassing previous state-of-the-art solutions in various tasks. Recently, Google has made several improvements to BERT, leading to a series of impressive enhancements. In … Read more
Whether you are on your way to TensorFlow World or unable to attend in person, read below for the latest information on the demonstrations and experience the new GitHub codebase.You can also follow #MissionToTensorFlowWorld on Twitter for real-time experiences! Half a century ago, the Apollo 11 mission realized humanity’s dream of landing on the moon. … Read more
Machine Heart Report Contributors: Si Yuan, Qian Zhang The championship throne of XLNet has not yet warmed up, and the plot has once again taken a turn. Last month, XLNet comprehensively surpassed BERT on 20 tasks, creating a new record for NLP pre-training models and enjoyed a moment of glory. However, now, just a month … Read more