MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities in China and abroad, gathering over 500,000 subscribers, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial communities of natural … Read more
Follow the public account “ML_NLP“ Set as “Starred” for heavy content delivered first! “ This article provides a deep analysis of the Transformer model, including the overall architecture, the background and details of the Attention structure, the meanings of QKV, the essence of Multi-head Attention, FFN, Positional Embedding, and Layer Normalization, as well as everything … Read more
In the past two years, the BERT model has become very popular. Most people know about BERT but do not understand what it specifically is. In short, the emergence of BERT has completely changed the relationship between pre-training to generate word vectors and downstream specific NLP tasks, proposing the concept of training word vectors at … Read more
Click the above“Beginner Learning Visuals” to selectStar or “Pin” Important content delivered promptly Generation of Attention Reason:《Sequence to Sequence Learning with Neural Networks》 Reason for introducing Attention model: Seq2seq compresses the input sequence into a fixed-size hidden variable, similar to our compressed files. This process is lossy and forces the loss of much information from … Read more
Originally from New Machine Vision Source: towardsdatascience Author: Raimi Karim Edited by: Xiao Qin [Introduction]The recent rapid advancements in the field of NLP are closely related to architectures based on Transformers. This article guides readers to fully understand the self-attention mechanism and its underlying mathematical principles through diagrams and code, and extends to Transformers. BERT, … Read more
Click the top “MLNLP” to select the “Starred” public account. Heavyweight content delivered first-hand. From:Number Theory Legacy The prerequisite knowledge for this article includes:Recurrent Neural NetworksRNN, Word EmbeddingsWordEmbedding, Gated UnitsVanillaRNN/GRU/LSTM. 1 Seq2Seq Seq2Seq is the abbreviation for sequence to sequence. The first sequence is called the encoder encoder, which is used to receive the source … Read more
Hierarchical Attention-based Framework Introduction Hierarchical Text Classification (HTC) refers to a given hierarchical label system (typically a tree structure or directed acyclic graph structure) that predicts the label path of the text (the parent node labels contain the child node labels along the path). Generally, there is at least one label at each level, making … Read more
Follow us on WeChat “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Reprinted from | High Energy AI This article summarizes the Attention mechanism in Natural Language Processing (NLP) in a Q&A format and provides an in-depth analysis of the Transformer. Table of Contents 1. Analysis of Attention Mechanism 1. Why introduce the … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first time! From | Zhihu Address | https://zhuanlan.zhihu.com/p/91839581 Author | Zhao Qiang Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is any infringement, please contact the backend for deletion. Attention is being … Read more
Follow the public account “ML_NLP” Set as “starred” to receive heavy content promptly! Author丨Electric Light Phantom Alchemy @ Zhihu Source丨https://zhuanlan.zhihu.com/p/362366192 Editor丨Machine Learning Algorithms and Natural Language Processing Attention has become a hot topic in the entire AI field, whether in machine vision or natural language processing, it is inseparable from Attention, transformer, or BERT. Below, … Read more