Natural Language Processing

From Knowledge Graphs to Cognitive Graphs: History, Development, and Prospects

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From Knowledge Graphs to Cognitive Graphs: History, Development, and Prospects

The research hotspot of knowledge graphs has gradually shown a tendency to emphasize quantity over structuredness, which is closely related to the prevalence of deep learning and connectionist ideas. Cognitive graphs dynamically construct knowledge graphs with contextual information based on the dual-processing theory of human cognition and perform reasoning. This article reviews the historical development … Read more

Overview of Knowledge Graph Data Management

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Overview of Knowledge Graph Data Management

In recent years, with the resurgence of the concept of “Artificial Intelligence”, besides the popular term “Deep Learning”, “Knowledge Graph” has undoubtedly become another “silver bullet” in the minds of researchers, industry professionals, and investors. Simply put, a “Knowledge Graph” is a way to represent “entities”, their “attributes”, and the “relationships” between entities in a … Read more

Knowledge Is the Power of AI: A Comprehensive Review from Knowledge Engineering to Knowledge Graphs

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Knowledge Is the Power of AI: A Comprehensive Review from Knowledge Engineering to Knowledge Graphs

Introduction Knowledge engineering is a typical representative of symbolic artificial intelligence, and knowledge graphs are the next generation of knowledge engineering technology. How will knowledge engineering influence the future development of artificial intelligence, and even enable computers to possess cognitive abilities similar to those of humans?Professor Xiao Yanghua from Fudan University and founder of Knowledge … Read more

Knowledge Graph Systems in the Era of Large Models

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Knowledge Graph Systems in the Era of Large Models

With the development and breakthroughs in large model technology, the combination of parametric knowledge and symbolic knowledge has become a research hotspot for empowering intelligent system applications. The deep integration of knowledge graphs and large models is an inevitable trend for achieving comprehensive, reliable, and controllable artificial intelligence. This special issue provides a comprehensive introduction … Read more

Technical and Applications of Knowledge Graphs

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Technical and Applications of Knowledge Graphs

↑Click “Shanghai Financial Information Industry Association” to follow us From the early days of Google search to today’s chatbots, big data risk control, securities investment, smart healthcare, adaptive education, and recommendation systems, all are related to knowledge graphs. Its popularity in the technical field has also been increasing year by year. This article explains the … Read more

The Importance of Knowledge Graphs in Natural Language Processing

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The Importance of Knowledge Graphs in Natural Language Processing

Article Promotion The Importance of Knowledge Graphs in Natural Language Processing Author Affiliation: Feng Zhiwei, Research Center for Russian Language, Literature and Culture, Heilongjiang University / Hangzhou Normal University Abstract: The term “knowledge graph” first appeared in literature in 1972. In May 2012, Google explicitly proposed the concept of a knowledge graph and constructed a … Read more

How to Choose Between Popular Research Directions in Computer Science

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How to Choose Between Popular Research Directions in Computer Science

Introduction In recent years, the development of the field of computer science has attracted much attention, and pursuing a master’s degree in computer science has become a goal for many students. A Google Scholar search for keywords like computer vision and natural language processing yields hundreds of thousands of results. Among the many popular directions, … Read more

Overview of Artificial Intelligence Technology Map: Computer Vision vs Machine Vision

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Overview of Artificial Intelligence Technology Map: Computer Vision vs Machine Vision

Click on the above “Beginner Learning Vision” to select “Star Mark” or “Top” Important content delivered to you first The development of artificial intelligence relies on a basic support layer and a technical layer. The basic support layer includes big data, computing power, and algorithms; the technical layer includes computer vision, speech recognition, and natural … Read more

Sentiment Analysis Using TensorFlow

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Sentiment Analysis Using TensorFlow

Follow our public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/31096913 Author | Datartisan Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is any infringement, please contact the background for deletion. This article will … Read more

Master TensorFlow and AI Algorithms for High-Paying Jobs

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Master TensorFlow and AI Algorithms for High-Paying Jobs

In 2019, did everyone notice a social phenomenon where competition for AI positions became increasingly fierce?However, at the same time, companies say that there is a severe shortage of AI talent?This seems a bit contradictory, but upon closer examination, the main reason is that many people want to enter the high-paying AI industry, but the … Read more