One of the main challenges in language analysis is the method of transforming text into numerical input, which makes modeling feasible. It is not a problem in computer vision tasks due to the fact ...

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

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. 20 years ago, if you had a database table containing your sales information ...

Using nationwide electronic health record (EHR) and cancer registry data from the VA Corporate Data Warehouse, we developed and validated a rule-based NLP algorithm to extract oncologist-determined MM ...

Olaparib, Pembrolizumab, and Carboplatin as First-Line Treatment of Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma: A Phase II Trial We built a natural language processing (NLP) ...

Some electronic surveillance systems are equipped with natural language processing to help detect complications like catheter-associated urinary tract infections, but how well do they work? NLP ...

Verified Market Research® a leading provider of business intelligence and market analysis is thrilled to announce the release of its comprehensive and authoritative report on the, "Natural Language ...

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 ...