Follow the WeChat public account “ML_NLP“ Set as “starred” for heavy content delivery! Author | Adherer Organizer | NewBeeNLP Interview tips knowledge compilation series, continuously updated Full of valuable content, recommended to collect, or as usual, see you in the background (code: BT) 1. What Is the Basic Principle of BERT? BERT comes from Google’s … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate 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, especially for beginners. Source | Zhihu … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities both domestically and internationally, gathering over 500,000 subscribers, with an audience covering NLP master’s and PhD students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between academia, industry, and enthusiasts … Read more
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) 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
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
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
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
Induction 1: Overgeneralization The speaker assumes that all similar situations will be the same based on one experience. This prevents the speaker from seeing the various possibilities and opportunities, and the speech conveys an “absolute” meaning. Example “He can never have a proper conversation with me.” The speaker may have drawn this sweeping negative conclusion … Read more
This article is reprinted with permission from the WeChat official account Paper Weekly (ID: paperweekly). Paperweekly shares interesting papers in the field of natural language processing every week. Introduction Dialogue systems are currently a hot research topic and a hotspot for venture capital. Since early 2016, countless companies have been established to create chatbots, voice … Read more