Knowledge graphs are increasingly becoming important in the AI world as an enabling technology for data integration and analytics, semantic search and question answering, and other cognitive applications. However, developing and maintaining large knowledge graphs in a manual way is too expensive and time consuming. To accelerate things, methods and techniques from the areas of information extraction and natural language processing (NLP) can be very helpful.
(more…)Author: crowintelligenceteam
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Prototypes of Women in American Advertisements: A Machine Aided Image Analysis
We are presenting at the 9th Visual Learning Conference. Below, you can see a short teaser video on the main issues of our research. More to come on November 26.
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Image metaphors of Trianon
Orsolya Putz’s recent paper, Image metaphors of Trianon, has been published in Cognitive Linguistic Studies.
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Must-read Business Books for AI Practitioners – with Bonus Titles
It’s commonsense that AI applications are changing our life. We are in the midst of an AI hype with high expectations towards technology. Governments using AI are transforming our societies. More and more money has been poured into AI startups. These phenomena made us interested in the business side of AI, so we collected the hottest titles on the topic.
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Graph Theory and Network Science for Natural Language Processing – Part 4, TextGraphs & Graph Neural Networks
We close our series on Graph Theory and Network Science for NLP with an overview of the recent developments in the field. It means deep learning enters the scene – finally.
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