Source: AI Scientist Summary: As hierarchical control accumulates more wealth, the rise of automation is leading to fewer jobs for the working class. How will the working class survive in the future? A university professor had a brilliant idea; his logic is clear: players with RMB are the financial backers of gaming companies, and to … Read more
Since the popularization of the Internet, the overwhelming, complex, and uncertain authenticity of information has been troubling users. Although tools such as search engines, directories, and manually edited communities can provide some assistance, the accuracy and convenience of these tools are still insufficient, urgently requiring a shift towards intelligent, precise, professional, and personalized user-centered intelligent … Read more
Guest Speaker | Yuxiang Wu Transcript Organizer | Lin Zhang Guest Speaker Introduction Yuxiang Wu, PhD from University College London.Currently pursuing a PhD at University College London (UCL), under the supervision of Professor Sebastian Riedel and Professor Pontus Stenetorp.His research areas include Natural Language Processing and Machine Learning, with a current focus on pre-trained language … 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 graduate students, university teachers, and corporate researchers. 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
Abstract: AI large models are an important research direction in the field of natural language processing and a fundamental technology in artificial intelligence, playing an increasingly prominent role in social production and life. In recent years, the application range of AI large models has been continuously expanding, and their applications in language processing have gradually … Read more
Reprinted from | RUC AI Box Author｜Gong Zheng Institution｜Renmin University of China Research Direction｜Natural Language Processing 0 Introduction In recent years, with the development of pre-training technology, models have achieved excellent performance in most natural language processing tasks by pre-training on massive text corpora. However, it seems that models with relatively small parameter counts still … Read more
Click the blue text above to follow us 1. Introduction: Why is “Natural Language Processing” So Important for AI? In summary, what is called “Artificial Intelligence” (AI) is a discipline that uses computer technology to simulate or partially simulate human intelligence. One very important aspect of human intelligent activities, to put it simply, is the … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered in real-time! Reprinted from | DataFunTalk Welfare at the end of the article! We will randomly select 10 lucky fans to each receive a copy of the latest work from Harbin Institute of Technology SCIR Laboratory“Natural Language Processing: Methods Based on Pre-trained Models (Full … Read more
This article is reprinted from: Language Monitoring and Intelligent Learning Written by / Sun Maosong The importance of human language (i.e., natural language) cannot be overstated. Edward O. Wilson, the father of sociobiology, once said, “Language is the greatest evolutionary achievement after eukaryotic cells.” James Gleick, the author of the popular science bestseller “The Information: … Read more
Introduction Natural Language Processing is a subfield of computer science, information engineering, and artificial intelligence, which involves the interaction between computers and human languages, processing and analyzing large amounts of natural language data through programming. 1Natural Language Processing(NLP) = Computer Science + AI + Computational Linguistics In other words, natural language processing is the ability … Read more