MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities at home and abroad, gathering over 500,000 subscribers, covering domestic and foreign 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: Machine Heart This article is approximately 1000 words long and is recommended for a 6-minute read. This article introduces a very practical indexing tool in the NLP field called "The NLP Index". When it comes to searching, academic search is also a science. Being adept at using search can help you quickly find the … 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 official account “ML_NLP“ Set as “Starred“, heavy content delivered first! Introduction With the popularity of pre-trained models like BERT, ERNIE, and XLNet, it seems outdated to solve NLP problems without using pre-trained models.However, this is clearly incorrect. As we all know, both training and inference with pre-trained models consume a large amount of … Read more
Delivering NLP technical insights to you every day! Reprinted from | PaperWeekly Author | Albert Yang Affiliation | Amazon/Georgia Tech Research Direction | NLP As a procrastinator, I’m writing this summary of the ACL conference just before NAACL 🙁 . At the onsite conference, I saw my former boss Bonnie Webber (ACL 2020 Lifetime Achievement … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication between academia, industry, and enthusiasts in natural language processing and machine learning, especially … Read more
This article is reprinted with permission from the WeChat public account Paper Weekly (ID: paperweekly). Paper Weekly shares interesting papers in the field of natural language processing every week. “NLP is not magic, but sometimes its results are almost magically amazing.” Quoted from: http://www.confidencenow.com/nlp-seduction.htm 【Editor’s Note】To clarify, when writing this popular science article on the … Read more
Author: PRATEEK JOSHI Translator: Han Guojun Proofreader: Li Hao This article is approximately 3500 words, and is recommended to be read in 15 minutes. This article will introduce the principles of ELMo and how it differs from traditional word embeddings, followed by practical demonstrations of its effectiveness. Introduction I am dedicated to researching issues related … Read more
Source: DeepHub IMBA This article is about 3500 words long and is recommended to be read in 5 minutes. In this article, several methods for extracting keywords from statistical, graph-based, and embedding approaches are introduced. Keyword extraction methods can find relevant keywords in documents. In this article, I summarize the most commonly used keyword extraction … Read more
If a computer can deceive humans into believing it is human, then that computer should be considered intelligent. —— Alan Turing Can machines understand text like we humans do? This was the initial fantasy of artificial intelligence. Today, it has become the core area of artificial intelligence—Natural Language Processing (NLP). Natural Language Processing is a … Read more