最近发布的GPT-3让我对NLP中的零学习和小样本的状态产生了兴趣。虽然大多数的零样本学习研究集中在计算机视觉,也有一些有趣的工作在NLP领域。 我将会写一系列的博文来涵盖现有的关于NLP零样本学习的研究。在这第一篇文章中,我将解释Pushp等人的论文“一次训练,到处测试:文本分类的零样本学习”。本文从2017年12月开...
我们在UCI News Aggregator和Tweet Classification数据集上测试了我们的模型。这些数据集中使用的文本类与源数据集的SEO标记之间存在细微差别,与UCI类相比,SEO标记是更原子的概念。例如,句子“Bitcoin futures could open the floodgates for institutional investors”的SEO标签是:Bitcoin, Commodity,Futures, Cryptoc...
具体而言,LTA 通过使用可见类和虚拟的未见类来训练自适应分类器,根据测试时间模拟广义零样本学习(generalized zero-shot learning,GZSL)场景。与此同时,学习校准类原型(prototype)和样本表示,使学习参数适应传入的未见类。作者声称,所提出的模型能够表征所有的原型和样本。将两个类映射到到一个分布更一致的全局空间。在...
该模型基于NLI的零点文本分类模型,参看Yin et al (2019) Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. 另一个模型是distilbert-base-uncased-mnli,该模型是uncased DistilBERT model在Multi-Genre Natural Language Inference (MNLI)上微调产生的。MNLI语料库包含大约433k个...
Learning in PyTorch ](https://github.com/orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch) ) You can view blog posts such as this to get a high-level understanding: - [Zero-Shot Learning for Text Classification](https://amitness.com/2020/05/zero-shot-text-classification/) 前往旧...
Zero-shot learning has significant implications for natural language processing and text classification. The technique can be used to classify text documents based on their attributes and features. For example, the Veryfi AI OCR model can classify receipts into expense categories based on their content...
Zero-shot learning in NLP allows a pre-trained LLM to generate responses to tasks that it hasn’t been explicitly trained for (even without fine-tuning). Specifically speaking about text classification, zero-shot text classification is a task in natural language processing where an NLP mod...
the Ugly](https://paperswithcode.com/paper/zero-shot-learning-a-comprehensive-evaluation)- [Zero-Shot Learning in Modern NLP](https://joeddav.github.io/blog/2020/05/29/ZSL.html)- [Zero-Shot Learning for Text Classification](https://amitness.com/2020/05/zero-shot-text-classification/) ...
Zero-shot learning (ZSL) is a machine learning scenario in which an AI model is trained to recognize and categorize objects or concepts without having seen any examples of those categories or concepts beforehand. Most state-of-the-art deep learning models for classification or regression are train...
Zero-Shot Learning in Modern NLP Of course, some research has in fact been done in this area. In this post, I will present a few techniques, both from… joeddav.github.io http://huggingface.com/zero-shot/ Example implementaton of zero-shot text classificationEdit description ...