Comprehensive Summary of Word Embedding Models

Comprehensive Summary of Word Embedding Models

Source: DeepHub IMBA This article is approximately 1000 words long and is recommended to be read in 5 minutes. This article will provide a complete summary of word embedding models. TF-IDF, Word2Vec, GloVe, FastText, ELMO, CoVe, BERT, RoBERTa The role of word embeddings in deep models is to provide input features for downstream tasks (such … Read more

A Comprehensive Overview of Named Entity Recognition (NER)

A Comprehensive Overview of Named Entity Recognition (NER)

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

Soft-Masked BERT: Latest Integration of Text Correction and BERT

Soft-Masked BERT: Latest Integration of Text Correction and BERT

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

From AlexNet to BERT: A Simple Review of Key Ideas in Deep Learning

From AlexNet to BERT: A Simple Review of Key Ideas in Deep Learning

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

Have You Read the Bert Source Code?

Have You Read the Bert Source Code?

Click the “MLNLP” above and select “Star” to follow the public account Heavyweight content delivered to you first Author:Old Song’s Tea Book Club Zhihu Column:NLP and Deep Learning Research Direction:Natural Language Processing Introduction A few days ago, during an interview, an interviewer directly asked me to analyze the source code of BERT. Emm, that was … Read more

12x Speedup for Bert Inference with One Line of Code

12x Speedup for Bert Inference with One Line of Code

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, 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 language processing and machine learning, especially for beginners. Reprinted … Read more

Build a Q&A Search Engine with Bert in 3 Minutes

Build a Q&A Search Engine with Bert in 3 Minutes

The renowned Bert algorithm is something most of you have probably heard of. It is a “game-changing” pre-trained model in the field of NLP launched by Google, which has set multiple records in NLP tasks and achieved state-of-the-art results. However, many deep learning beginners find that the BERT model is not easy to set up, … Read more

Decoding BERT: Understanding Its Impact on NLP

Decoding BERT: Understanding Its Impact on NLP

Click on the “MLNLP” above and select the “Star” public account Heavyweight content delivered to you in real-time Reprinted from the public account: AI Developer Introduction to BERT It is no exaggeration to say that Google’s AI Lab’s BERT has profoundly impacted the landscape of NLP. Imagine a model trained on a vast amount of … Read more

Understanding Bert’s MASK Mechanism and Its Variants

Understanding Bert's MASK Mechanism and Its Variants

Follow the public account “ML_NLP“ Set as “Starred” to receive heavy content promptly! Bert is a pre-trained model that has dominated the leaderboard of natural language processing tasks since its introduction; numerous improved pre-trained models based on it have also emerged. This article does not explain what Bert is, but attempts to compare and analyze … Read more

Deconstructing BERT: Extracting 6 Patterns from Millions of Parameters

Big Data Digest and Baidu NLP jointly produced Compiled by: Andy Proofread by: Baidu NLP, Long Xincheng Original Author: Jesse Vig Some intuitive patterns emerge in BERT’s intricate attention networks. 2018 was a turning point in the field of natural language processing, with a series of deep learning models achieving the best results on various … Read more