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 ...
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) ...
Google is applying its BERT models to search to help the engine better understand language. BERT stands for Bidirectional Encoder Representations from Transformers, a neural network-based technique ...
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 ...
Have you ever read something online and shared it among your networks, only to find out it was false? As a software engineer and computational linguist who spends most of her work and even leisure ...
When OpenAI released its huge natural-language algorithm GPT-3 last summer, jaws dropped. Coders and developers with special access to an early API rapidly discovered new (and unexpected) things GPT-3 ...
Accern Corp., a natural language processing startup focused on the financial services sector, today announced that it has closed a $20 million funding round co-led by Mighty Capital and Fusion Fund.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results