In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This problem is something that we do not care about. What we care about are the ...

If you’re completely new to Microsoft Word, you’re probably wondering where to begin. You’ve come to the right place because we’ll get you started. From what you see in the Word window to how to save ...

A picture may be worth a thousand words, but how many numbers is a word worth? The question may sound silly, but it happens to be the foundation that underlies large language models, or LLMs — and ...

Researchers have focused on developing and building models to process and compare human language in natural language processing efficiently. One key area of exploration involves sentence embeddings, ...

Sarcasm detection is an important task in sentiment analysis, especially in the context of social media, where sarcastic statements often contradict the literal sentiment of the text. This project ...

Traditional monolingual word embedding models transform words into high-dimensional vectors which represent semantics relations between words as relationships between vectors in the high-dimensional ...

Abstract: This paper investigates the limitations of transformer-based models in handling a fixed vocabulary, which can lead to poor generalization of out-of-vocabulary words and domains. To address ...