Few-Shot NER with Dual-Tower BERT Model

Few-Shot NER with Dual-Tower BERT Model

Delivering NLP technical insights to you every day! Author | SinGaln Source | PaperWeekly This is an article from ACL 2022. The overall idea is to use a dual-tower BERT model to encode text tokens and their corresponding labels separately based on meta-learning, and then perform classification on the output obtained from the dot product … Read more

Do You Really Need GPT-3? BERT’s MLM Model Also Enables Few-Shot Learning

Do You Really Need GPT-3? BERT's MLM Model Also Enables Few-Shot Learning

Follow the official account “ML_NLP“ Set it as “Starred“, delivering heavy content immediately! Source|PaperWeekly ©PaperWeekly Original · Author|Su Jianlin Unit|Zhuiyi Technology Research Direction|NLP, Neural Networks As we all know, GPT-3 is currently very popular, however, everywhere we see promotions for GPT-3, do readers remember the name of the GPT-3 paper? In fact, the paper is … Read more

ACL2022 | Dual Tower BERT Model with Label Semantics

ACL2022 | Dual Tower BERT Model with Label Semantics

Delivering NLP technology insights to you every day! Source: Alchemy Notes Author: SinGaln This is a paper from ACL 2022. The overall idea is to use a dual tower BERT model based on meta-learning to encode text tokens and their corresponding labels separately, and then perform a classification task using the output obtained from their … Read more

MetricPrompt: A Few-Shot Text Classification Method Based on Relevance Metrics

MetricPrompt: A Few-Shot Text Classification Method Based on Relevance Metrics

Introduction to the Paper Despite the increasing applications of prompt learning methods in various few-shot natural language processing tasks, designing templates and label mappings in prompt learning is quite challenging, requiring a deep understanding of the model and classification tasks, along with extensive trial and error. Existing methods for automating label mapping design, while saving … Read more

Image Classification with Few-Shot Learning Using PyTorch

Image Classification with Few-Shot Learning Using PyTorch

Click on the above “Beginner Learning Vision” to select “Star” or “Top” Important content delivered first Author: Aryan Jadon Source: DeepHub IMBA Editor: Extreme City Platform Guide to Extreme City This article briefly summarizes four methods of few-shot learning image classification algorithms and implements a simple classification model using PyTorch, along with operational code. In … Read more

Research on Few-Shot Class-Incremental Recognition Technology for SAR Images

Research on Few-Shot Class-Incremental Recognition Technology for SAR Images

Click the blue “Radar Journal” to follow From October 22 to October 30, 2023, the 3rd Radar Journal Doctoral Forum was successfully held! Doctoral student Zhao Yan from National University of Defense Technology presented an academic report titled “Research on Few-Shot Class-Incremental Recognition Technology for SAR Images” at the SAR Image Interpretation Technology Sub-Forum on … Read more

Where Do Knowledge Graphs Come From: The Current Status and Future of Entity Relationship Extraction

Where Do Knowledge Graphs Come From: The Current Status and Future of Entity Relationship Extraction

Machine Heart Reprint Authors:Han Xu, Gao Tianyu, Liu Zhiyuan This article is written by Professor Liu Zhiyuan from Tsinghua University and his students Han Xu and Gao Tianyu, introducing the topic of knowledge graphs. The article reviews the development of the knowledge graph field and summarizes recent research progress. It has been authorized for reprint … Read more