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We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Word embeddings are directly responsible for many of the exponential advancements natural language technologies have made over the past couple years. They’re foundational to the functionality of ...

In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

Bilingual word embeddings (BWEs) play a very important role in many natural language processing (NLP) tasks, especially cross-lingual tasks such as machine translation (MT) and cross-language ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

What do you visualize when you read words such as “person,” “people” or “individual”? Chances are the image in your head is of a man, not a woman. If so, you are not alone. A massive linguistic ...