Analyst Network of Machine Heart Analyst: Wu Jiying Editor:Joni Zhong As an important research topic in the fields of computer science and artificial intelligence, Natural Language Processing (NLP) has been extensively studied and discussed across various domains. With the deepening of research, some scholars have begun to explore whether there are connections between natural language … Read more
Reprinted with permission from Liu Zhiyuan’s Zhihu column Author: Liu Zhiyuan The author of this article, Liu Zhiyuan, is an associate professor in the Department of Computer Science and Technology at Tsinghua University. Professor Liu summarizes several common problems faced by researchers when writing NLP papers and has written this article. This article is not … Read more
Baido NLP Column Author: Baido NLP Introduction In recent years, we have been deeply engaged in the integration of neural network models with NLP tasks, achieving significant progress in various areas such as syntactic analysis, semantic similarity computation, and chat generation. In search engines, semantic similarity features have also become one of the most important … Read more
Selected from GitHub Author:Sepehr Sameni Compiled by Machine Heart Contributors: Lu Word and sentence embeddings have become essential components of any deep learning-based natural language processing system. They encode words and sentences into dense fixed-length vectors, significantly enhancing the ability of neural networks to process textual data. Recently, Separius listed a series of recent papers … Read more
Author | Huang Xi | Source | NLP Research Institute (ID: nlpcn1997) The psychological writer Mr. Huang Qituan said: “Everyone has their preferred communication style.” Moreover, each person’s way of experiencing and understanding the world is different. Only by being “in sync” with others can we better and more quickly bridge the distance between us. … Read more
The knowledge graph is a very popular technology recently, integrating web crawling, natural language processing, machine learning, deep learning, graph databases, complex network analysis, and many other hot technologies into one. The technology density is high, making it a product that companies are very interested in, such as constructing semantic search, Q&A platforms, and intelligent … Read more
With the development of artificial intelligence research, knowledge graphs (KGs) have attracted wide attention from both academia and industry. As a representation of semantic relationships between entities, knowledge graphs play an important role in natural language processing (NLP) and have seen rapid promotion and widespread adoption in recent years. Given the increasing workload of research … Read more
Yunzhong from Aofeisi Quantum Bit | WeChat Official Account QbitAI It has been a full year since ChatGPT and GPT-4 ignited a new round of artificial intelligence revolution. In this year, numerous companies both domestically and internationally have flooded into the “beast arena” of large models, accelerating the iteration and leap of large model technology. … Read more
With the rapid development of deep learning, significant progress has also been made in the field of generative models. Generative Adversarial Networks (GAN) are an unsupervised learning method proposed based on the theory of two-player zero-sum games in game theory. GAN consists of a generator network and a discriminator network, and is trained through adversarial … Read more
This article is reproduced 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. “In-depth Analysis: GAN Models and Their Progress in 2016” [1] provides a detailed introduction to the progress of GANs over the past year, which is highly … Read more