Natural language processing (NLP) is one of the most important frontiers in software. The basic idea—how to consume and generate human language effectively—has been an ongoing effort since the ...

Natural language processing (NLP) is one component of intelligent automation, a set of related technologies that enable computers to automate knowledge work and augment the productivity of people ...

This year, all eyes will be on natural language processing (NLP). With OpenAI's GPT-4 and Meta's LLaMA out, the race for the best AI-powered NLP tech is officially on.

We’ll break that down further in the next section. Historically, natural language processing was handled by rule-based systems, initially by writing rules for, e.g., grammars and stemming.

Here are some more applications of natural language processing: Email assistant: Auto-correct, grammar and spell check, as well as auto-complete, are all functions enabled by NLP. The spam filter ...

Discover how natural language processing (NLP) can be used to effectively detect fake news. Learn about the key techniques, examples and tools that NLP offers in the battle against misinformation.

Natural language processing (NLP) with business intelligence (BI) applications has been used sparingly but that may all soon change as speech recognition interfaces infused with artificial ...

Generalizability and portability of natural language processing system to extract individual social risk factors. International Journal of Medical Informatics, 2023; 177: 105115 DOI: 10.1016/j ...