Uploaded April 2016 | Updated September 2026, 12 minutes ago
This talk was given by undergraduate Adam Aji during the 10th Annual Computer Science Undergraduate Research Symposium in 2016. Adam‘s research was supervised by Dr. Tamara Berg.
“Alphabet Soup: Learning Knowledge Graphs from Recipes on the Web”
With the growth of the internet, there has been an increasing amount of data to learn world knowledge from; people post more pictures and write more text every day. From these, one relatively untapped source of data lies in the domain of cooking. Textual recipes are hosted on a wide range of sites, and the web is full of images of different meals and what goes into them. Furthermore, as instructional texts, recipes hold information about states of objects and what changes they undergo to reach a goal. I will present a method to try and extract this information from these data, and its use in applications such as automatically illustrating new and unseen recipes.
Adam Aji is a junior majoring in computer science and linguistics. He is interested in studying how natural language can bridge the gap between machines and people, as well as other crossdisciplinary applications in the realms of artificial intelligence, computer vision, and cognitive science.
cs.unc.edu/academics/undergraduate/symposium/symposium-2016/
This talk was given by undergraduate Adam Aji during the 10th Annual Computer Science Undergraduate Research Symposium in 2016. Adam‘s research was supervised by Dr. Tamara Berg.
“Alphabet Soup: Learning Knowledge Graphs from Recipes on the Web”
With the growth of the internet, there has been an increasing amount of data to learn world knowledge from; people post more pictures and write more text every day. From these, one relatively untapped source of data lies in the domain of cooking. Textual recipes are hosted on a wide range of sites, and the web is full of images of different meals and what goes into them. Furthermore, as instructional texts, recipes hold information about states of objects and what changes they undergo to reach a goal. I will present a method to try and extract this information from these data, and its use in applications such as automatically illustrating new and unseen recipes.
Adam Aji is a junior majoring in computer science and linguistics. He is interested in studying how natural language can bridge the gap between machines and people, as well as other crossdisciplinary applications in the realms of artificial intelligence, computer vision, and cognitive science.
cs.unc.edu/academics/undergraduate/symposium/symposium-2016/
