AI Agent 
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
Click the above “Beginner Learning Vision” to select “Star” or “Pin” Heavyweight content delivered first time This article is reprinted from | Machine Learning Beginner Introduction: Recently, the autonomous driving project requires learning some content about semantic segmentation, so I reviewed some papers and videos and made a simple summary. The note structure is: Machine … 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
Natural Language Processing (NLP) is a subfield of computer science, information engineering, and artificial intelligence, focusing on human-computer language interaction and exploring how to process and utilize natural language. The research on NLP can be traced back to the Turing test, evolving from rule-based research methods to the currently popular statistical models and methods, transitioning … Read more
MLNLP Community is a well-known machine learning and natural language processing community at home 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 circles of natural language processing and machine learning at home and abroad, … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! Source | Xixiaoyao’s Cute Selling House At this point in 2020, our focus on NLP classification tasks is no longer about how to construct models or being fixated on what classification models look like. Just like the current focus in the CV field, … Read more
【Editor’s Note】On October 27, 2019, the “Future Has Arrived: The Fourth Industrial Revolution and China’s Future Studies Seminar” was held in Room 302 of the School of Public Management, hosted by Tsinghua University’s National Conditions Research Institute and co-organized by the editorial department of “Cultural Horizons”. Scholars from different disciplines and industry practitioners engaged in … Read more
Click on the “MLNLP” above, and select the “Star” public account Heavyweight content delivered to you first Reprinted from the public account: Harbin Institute of Technology SCIR Authors: Harbin Institute of Technology SCIR Di Donglin Liu Yuanxing Zhu Qingfu Hu Jingwen Introduction With the development of artificial intelligence, more and more deep learning frameworks have … Read more
Delivering NLP technical insights to you daily! © Author | Wu Di Institution | UCLA Research Direction | NLP Typesetting | PaperWeekly Introduction In modern natural language processing (NLP) applications, using pre-trained representations for transfer learning is an important method. After deep learning began to be applied, transfer learning first appeared in the use of … Read more