Deep Learning

Natural Language Processing (NLP): An Important Branch of AI

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Natural Language Processing (NLP): An Important Branch of AI

1 Introduction to Algorithms Natural Language Processing (NLP) is an interdisciplinary field that combines computer science, artificial intelligence, and linguistics. It primarily studies how to enable computers to understand, process, generate, and simulate human language, thereby achieving the ability to engage in natural conversations with humans. The underlying principles of natural language processing involve multiple … Read more

Natural Language Processing: A Comprehensive Analysis from Traditional to Deep Learning

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Natural Language Processing: A Comprehensive Analysis from Traditional to Deep Learning

1. Overview Natural Language Processing (NLP) is one of the hottest fields in Artificial Intelligence (AI), now primarily referring to large language models. This is thanks to applications that people are enthusiastic about, such as text generators that can write stories, chatbots that can deceive people, and text-to-image programs that produce photo-realistic images. In recent … Read more

Essential NLP Interview Questions

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Essential NLP Interview Questions

Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! Author: Pratik Bhavsar Translation: ronghuaiyang Introduction Frequently asked questions in NLP interviews. Practicing NLP is one thing, cracking interviews is another. Interviews for NLP positions are very different from general data science roles. In just a few years, these questions have completely … Read more

In-Depth Explanation of Adapter Techniques in NLP

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In-Depth Explanation of Adapter Techniques in NLP

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

Understanding NLP: A Comprehensive Guide

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Understanding NLP: A Comprehensive Guide

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

In-Depth Understanding of Deep Learning Semantic Segmentation

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In-Depth Understanding of Deep Learning Semantic Segmentation

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

Why Natural Language Processing Is the Jewel in the Crown of AI

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Why Natural Language Processing Is the Jewel in the Crown of AI

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

NLP Development Trends from Classic Models Like ULMFiT, Transformer, and BERT

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NLP Development Trends from Classic Models Like ULMFiT, Transformer, and BERT

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

In-Depth Explanation of Adapter Technology in NLP

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In-Depth Explanation of Adapter Technology in NLP

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

He Xiaodong: How AI Understands Humans Through NLP Technology

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He Xiaodong: How AI Understands Humans Through NLP Technology

GBAS Integrating into the Global Economy to Drive Bay Area Development Follow Author | Zhang Li Source | Lei Feng Network In recent years, the development of deep learning has profoundly propelled artificial intelligence. The next major breakthrough in artificial intelligence lies in understanding natural language. On June 23, the China Computer Federation held a … Read more