Natural-language-processing applications are ubiquitous: Alexa can set a reminder, or play a particular song, or provide your local weather if you ask; Google Translate can make documents readable ...

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 ...

Natural language processing (NLP) and speech processing at RIT is a research-active area led by Dr. Cecilia Alm’s and Dr. Marcos Zampieri’s laboratories. The groups’ research projects, supported by ...

The course explores a breadth of Natural Language Processing (NLP) applications with a focus on contemporary, state-of-the-art systems, often based on deep learning techniques. Topics include word ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Evaluation of the Clinical Utility of the Bone Metastases Ensemble Trees for Survival Decision Support Platform (BMETS-DSP): A Case-Based Pilot Assessment Despite advances in molecular therapeutics, ...

What Is Natural Language Generation (NLG)? Natural Language Generation (NLG) is essentially the art of getting computers to speak and write like humans. It’s a subfield of artificial intelligence (AI) ...

Natural language processing bridges the gap between real people’s search queries and what search engines have to offer. Comprehensive keyword research should be the backbone of your content ...

Learn how modern search engines like Google use advanced NLP to understand searches, match queries to content, and rank results. SEO has come a long way from the days of keyword stuffing. Modern ...

Show More 1 Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX Despite advances in molecular therapeutics, few ...

In recent years, Know Your Customer (KYC) processes have become increasingly critical for financial institutions and other regulated entities to mitigate risks associated with money laundering, fraud, ...