Sebastian Ruder

NOVEMBER 14, 2022

Bender [2] highlighted the need for language independence in 2011. 92] categorized the languages of the world into six different categories based on the amount of labeled and unlabeled data available in them. Around 400 languages have more than 1M speakers and around 1,200 languages have more than 100k [1]. Joshi et al. [92]

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

Artificial Corner

JUNE 6, 2023

These techniques can be applied to a wide range of data types, including numerical data, categorical data, text data, and more. NoSQL databases are often categorized into different types based on their data models and structures. Follow Now ? Subscribe to the newsletter to not miss my latest posts: Subscribe Now ? References Han, J.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Explosion

FEBRUARY 12, 2017

We want to learn a single categorical label for the pair of questions, so we want to get a single vector for the pair of sentences. People have been using context windows as features since at least Collobert and Weston (2011) , and likely much before. This gives us two 2d arrays — one per sentence.

Neural Network 40

Neural Network Deep Learning Natural Language Processing NLP 40

Explosion

MARCH 17, 2019

In 2011, deep learning methods were proving successful for NLP, and techniques for pretraining word representations were already in use. It helps most for text categorization and parsing, but is less effective for named entity recognition. Even more recently, Li et al.

NLP 52

NLP Python Neural Network Natural Language Processing 52

Viso.ai

JANUARY 16, 2024

The AI community categorizes N-shot approaches into few, one, and zero-shot learning. N-Shot Learning Benchmarks We use several benchmarks to compare the performance of FSL, OSL, and ZSL models on publicly available datasets such as MNIST, CUB-200-2011, ImageNet, etc. Let’s discuss each in more detail. The CLIP model for ZSL shows 64.3%

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

AWS Machine Learning Blog

JULY 20, 2023

We tend to categorize ensembles by the techniques used to train them, their composition, and the way they merge the different predictions into a single inference. Although this post only showed the benefits with two models, you can use this method to train, tune, and deploy numerous ensemble models to see an even greater effect.

ML 81

ML Python Natural Language Processing Machine Learning 81

AI Impacts

MAY 15, 2024

Two polls in swing states in 2011 indicated that Republicans and Democrats with less education, or who said they know little about climate change, have similar views. 6 I categorize these laws as dealing with environmental impact statements, air pollution, water pollution, solid waste, toxic substances, or endangered species.

Categorization 147

Categorization AI AI 147