ABSTRACT: Understanding the historical evolution and divergence of languages requires a quantitative framework for measuring their relationships. Traditional linguistic classifications provide ...

Artificial Intelligence is shaking up digital marketing and search engine optimization (SEO). Natural Language Processing (NLP), a key component of AI search, is enabling businesses to interact with ...

A Python library to train task-specific LLMs without training data, for offline NLP and Text Classification tasks, such as Guardrail Models and Intent Classification 🤖🚀 ...

Shubham Joshi is a Senior SEO Specialist with over 5 years of expertise in driving organic growth and enhancing online visibility. Shubham Joshi is a Senior SEO Specialist with over 5 years of ...

Abstract: Intent classification is especially significant in NLP, and for contextual question-answering (QA) systems like virtual assistants. Thus, in this paper, we explore three transformer models ...

Intent classification is the automatic categorization of text data based on customer goals. It is known to be a complex problem in NLP. Sequence Labelling aims to classify each token (word) in a class ...