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This webinar will allow you to catch up on the state of the art of Natural Language Generation and understand how and where you can apply this technology.
What is Text Generation and how does it work? What advantages can its implementation provide?
We will summarize the most important theoretical concepts behind Natural Language Generation, but we will mostly focus on its practical usage.
We will show some use cases where this technology can bring added value, such as the automatic generation of product descriptions.
In the end, we will present two projects in which Machine Learning Reply has successfully implemented Text Generation solutions for the automatic generation of articles.
You will discover how to speed up and simplify the text generation process and how to increase the efficiency of your processes by automating repetitive tasks.