May 28, 2022
Previous Question Answering systems mostly worked on plain text data alone. In this talk, I will describe how you can use the open-source framework Haystack for searching inside both text and tables with the latest NLP technology. For Question Answering to work on tables you have to extract tables from PDFs, find the table that might contain the wanted information, and finally pick the answer from the table itself. To give a practical example we will showcase a prototype that answers questions on a pilot's manual, a project we developed in collaboration with Airbus.
Machines can learn. Incredibly fast. Faster than you. They are getting smarter and smarter every day. They are already changing your world, your business and your life. Artificial intelligence revolution is here. Come and learn how to turn this threat into your biggest opportunity. This is not another academic conference. Our goal is to foster discussion between machine learning practitioners and all people who are interested in applications of modern trends in artificial intelligence. You can look forward to inspiring people, algorithms, data, applications, workshops and a lot of fun during three days as well as at two great parties.
Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%
Presentations on similar topic, category or speaker