Teaching computers to make sense of human language has long been a goal of computer scientists. The natural language that people use when speaking to each other is complex and deeply dependent upon ...

Natural Language Processing (NLP) is an interdisciplinary field that marries computer science, linguistics and artificial intelligence to enable computers to interpret, generate and interact with ...

From a friend on Facebook: Me: Alexa please remind me my morning yoga sculpt class is at 5:30am. Alexa: I have added Tequila to your shopping list. We talk to our devices, and sometimes they recognize ...

It wasn’t too long ago that talking to a computer and having it not only understand, but speak back, was confined to the realm of science fiction, like that of the shipboard computers of Star Trek.

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 dawn of ...

A new study has found that a natural language processing (NLP) system showed excellent performance when ported to a new health system and tested on more than six million clinical notes of patients ...

Clement Delangue is the co-founder and CEO of Hugging Face, a startup focused on natural language processing that has raised more than $20M. The company created Transformers, the fastest growing ...

NLP AI evolves, integrating into devices like smartphones; its applications also expand. Advanced NLP models such as GPT-3 can perform tasks nearly indistinguishable from humans. Investors should ...

Forbes contributors publish independent expert analyses and insights. Making wealth creation easy, accessible and transparent. Natural language processing (NLP) is a subset of artificial intelligence ...

Are you intrigued by the fascinating realm of human-computer interaction? Perhaps, you’ve found yourself wondering how technologies like Siri or Alexa understand your speech and respond almost like a ...

Natural language processing can be used for automated extraction of social work interventions from electronic health records, thereby supporting social work staffing and resource allocation decisions.