The Intricate Mathematics Behind Word Vectors

The Intricate Mathematics Behind Word Vectors

Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! From | Zhihu Address | https://zhuanlan.zhihu.com/p/270210535 Author | Pan Xiaoxiao Editor | Machine Learning Algorithms and Natural Language Processing WeChat public account This article is for academic sharing only. If there is any infringement, please contact us to delete the … Read more

Application Of Large-Scale Pre-trained Models In Quantitative Investment (Part 1)

Application Of Large-Scale Pre-trained Models In Quantitative Investment (Part 1)

Application of Large-Scale Pre-trained Models in Quantitative Investment (Part 1) Research Unit: Taiping Asset Management Co., Ltd. Project Leader: Wang Zhenzhou Project Team Members: Wang Teng, Yi Chao, Zuo Wenting, Hu Qiang, Yu Hui Abstract: This project deeply explores the application of large-scale pre-trained models in the field of quantitative investment, mainly addressing several key … Read more

Yuan Yulin: Language Design Principles Under Human Habitat Constraints

Yuan Yulin: Language Design Principles Under Human Habitat Constraints

Language Life Research Guest of This Issue Yuan Yulin Professor at the University of Macau, with main research interests in theoretical linguistics and Chinese linguistics. Thinking About Language Design Principles and Operational Mechanisms Under Human Habitat Constraints Yuan Yulin (University of Macau, Department of Chinese Language and Literature, Macau 999078; Peking University, Department of Chinese/Center … Read more

Economic Sentiment Analysis Based on 200 Years of News Text

Economic Sentiment Analysis Based on 200 Years of News Text

Using text from 200 million pages of 13,000 local US newspapers and machine learning methods, we constructed a measure of economic sentiment at national and state levels that spans 170 years, extending existing indicators in both time series and cross-section. Even after controlling for common predictive factors and monetary policy decisions, our measure can still … Read more

Understanding Self-Supervised Learning

Understanding Self-Supervised Learning

Self-Supervised Learning is a popular research area in recent years. It aims to extract the inherent representation features of unlabeled data by designing auxiliary tasks as supervisory signals, thereby enhancing the model’s feature extraction capabilities. Today, let’s explore what self-supervised learning is! 01 What is Self-Supervised Learning? Machine learning can be classified into supervised learning, … Read more

Empowering the Patent Industry with Technology

Empowering the Patent Industry with Technology

April 26, 2023 System Launch On April 26, 2023, the China Patent Information Center (hereinafter referred to as the “Information Center”) officially launched the new generation patent machine translation system for the global market, aimed at helping domestic and foreign enterprises and intellectual property service organizations easily solve the challenges of multilingual patent document translation. … Read more

Cloud Translation: Online Translation with AI

Cloud Translation: Online Translation with AI

1. Tool Introduction Shenzhen Cloud Translation Technology Co., Ltd. was established in 2016, with wholly-owned subsidiaries Xiamen Cloud Translation Technology Co., Ltd. and Shanghai Cloud Translation Artificial Intelligence Co., Ltd. In December 2020, it successfully passed the national high-tech enterprise certification, entering the ranks of high-tech enterprises. Cloud Translation Technology focuses on artificial intelligence technology, … Read more

How to Use the DeepL Translation System

How to Use the DeepL Translation System

How to Use the DeepL Translation System 1. Tool Introduction DeepL is an AI startup based in Germany that focuses on providing translation services using artificial intelligence. DeepL Translator was launched in August 2017 by DeepL GmbH, a startup supported by Linguee, and it supports translations between Chinese, English, German, French, Japanese, Spanish, Italian, Dutch, … Read more

Language Families and Machine Translation Challenges

Language Families and Machine Translation Challenges

Source | Language Spring and Autumn Current machine translation technology can be divided into two categories: one is Rich Resource NMT, which refers to language pairs with abundant bilingual corpora (e.g., Chinese – English); the other is Low Resource NMT, which refers to language pairs lacking sufficient bilingual corpora (e.g., Chinese – Hebrew). Currently, machine … Read more

Comprehensive Collection of Chinese NLP Datasets, Platforms, and Tools

Comprehensive Collection of Chinese NLP Datasets, Platforms, and Tools

Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Source: Deep Learning and NLP This resource organizes a large number of datasets for text classification, entity recognition & part-of-speech tagging, search matching, recommendation systems, coreference resolution, encyclopedia data, pre-trained word vectors or models, Chinese Cloze tests, and more. The content … Read more