“The “Levels of Understanding” is a tool for cognitive understanding organized by Robert Dilts, a leading figure in the third generation of NLP. It helps us clearly understand the external and internal worlds. The “Understanding Levels Integration Method” developed based on the “Levels of Understanding” can help individuals break through confusion and connect with the … Read more
Follow the official account “ML_NLP“ Set as “Starred“, receive heavy content promptly! Selected by | Ahmed BESBES Author | Ahmed Besbes Transferred from | Machine Heart This article introduces 7 models for text classification tasks, including traditional bag-of-words models, recurrent neural networks, convolutional neural networks commonly used in computer vision tasks, and RNN + CNN. … Read more
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 Introduction With the popularity of pre-trained models like BERT, ERNIE, and XLNet, it seems outdated to solve NLP problems without using pre-trained models.However, this is clearly incorrect.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
Originally published by Xi Xiaoyao Technology Original author | Xie Nian Nian In interpersonal communication, especially when using a profound language like Chinese, people often do not answer questions directly but instead use implicit, obscure, or indirect expressions. Humans can accurately interpret some implied meanings based on past experiences or understanding of the speaker, as … 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
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
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