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, with an audience 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 … Read more
Source: Computer Vision and Machine Learning Author: Jay Alammar Link: https://jalammar.github.io/illustrated-bert/ This article is about 4600 words long and is recommended to read in 8 minutes. In this article, we will study the BERT model and understand how it works, which is of great reference value for students in other fields. Since Google announced BERT’s … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers from enterprises. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the … Read more
1 Algorithm Introduction The full name of BERT is Bidirectional Encoder Representation from Transformers, which is a pre-trained language representation model. It emphasizes that pre-training is no longer conducted using traditional unidirectional language models or by shallowly concatenating two unidirectional language models, but rather by adopting a new masked language model (MLM) to generate deep … Read more
This article is also published on my personal website, where the formula images display better. Welcome to visit: https://lulaoshi.info/machine-learning/attention/bert Since the emergence of BERT (Bidirectional Encoder Representations from Transformer) [1], a new paradigm has opened up in the field of NLP. This article mainly introduces the principles of BERT and how to use the transformers … Read more
Source: Deephub Imba This article is approximately 2200 words long and is recommended for a 9-minute read. It includes an overview of its main classes and functions along with some code examples. It can serve as an introductory tutorial for this library. Mainly includes Pipeline, Datasets, Metrics, and AutoClasses Hugging Face is a very popular … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, as well as enthusiasts, … Read more
Source: Machine Heart This article is about 2000 words long and is recommended to be read in 5 minutes. An effective solution to optimize Transformers, achieving significant improvements in downstream tasks with only a small number of additional parameters. Researchers from Cornell University, Meta AI, and the University of Copenhagen proposed an effective solution to … Read more
Source: TsinghuaNLP, Deep Learning Natural Language Processing This article is about 2400 words long and is recommended to be read in 5 minutes. This article uses a knowledge base to expand and improve label words, achieving better text classification results. Background Using Prompt Learning for text classification tasks is an emerging method that leverages pre-trained … 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, covering NLP master’s and PhD students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language … Read more