And habits are pretty tricky to break, unless we understand them; how they have been formed, why they have been created, what ...

In answer to a recent “Personal History” piece published on November 22, one respondent griped that it never would have been published but for the writer’s ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

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

This project provides 100+ Chinese Word Vectors (embeddings) trained with different representations (dense and sparse), context features (word, ngram, character, and more), and corpora. One can easily ...

Abstract: Word vector and topic model can help retrieve information semantically. However, there still are many problems: 1) antonyms share high similarity when clustered through word vectors; 2) ...

In recent years, the way computers understand human language has improved a lot, thanks to a technique called word embeddings. These embeddings help machines grasp the meanings of words by ...

In recent years, the rapid progress of deep learning techniques has revolutionized natural language processing (NLP), leading to the emergence of innovative models. Among these, word embeddings have ...