Industry experts compare the launch of AI to the invention of the printing press or the first personal computer. It has become one of the leading software development areas with vast growth potential. Over 50% of businesses have already adopted AI to their operations, and 76% of enterprises report increasing investments in AI in 2023. Statista’s data suggests that the...
On May 25, 2023, the CHI Software team held the fifth webinar within our CHI Talks series. This time, we dwelled on the topic of text simplification as a part of the natural language processing (NLP) niche. The event’s goal was to uncover the text simplification basics, its current tasks, and prospects.
Text simplification is an operation aimed to change and enhance a current text for a better understanding with no changes in the content’s original meaning.
Our webinar covered the following aspects:
- Where you can use text simplification capabilities,
- The list of simplification approaches,
- The definition of “simple” words,
- The obstacles of text simplification,
- How to evaluate text simplification results,
- The overview of the most popular text simplification models.
You can learn more about each of these points by watching the event in full:
The guest of our webinar who kindly agreed to share her expertise was Olha Kanishcheva, a researcher at Jena University (Germany) and a consulting ML/NLP Engineer at CHI Software, who wrote several scientific publications related to text summarization, covering entity recognition, keyword extraction, etc.
We feel most grateful to Olha and our audience for their support and interest in our webinar series. Join us to gain new knowledge and ask your questions at our next online event.
CHI Talks is a series of free webinars for the international audience interested in digital marketing and the IT industry. Our goal is to highlight the role of marketing and MarTech in software success.
Polina is a curious writer who strongly believes in the power of quality content. She loves telling stories about trending innovations and making them understandable for the reader. Her favorite subjects include AI, AR, VR, IoT, design, and management.