The AI-powered platform provides speech-to-text and text-to-speech capabilities that help organizations automate tasks ...
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 ...
Large population-based health registries, such as the National Cancer Institute’s SEER program, are extensive databases that can be utilized by researchers to understand the epidemiology and mortality ...
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.
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 ...
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 ...
Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non–Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin Therapy Accurate identification of ...
We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Natural language processing (NLP), business intelligence (BI) and ...
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 ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
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