Ulli Waltinger is the Head of the Machine Intelligence Group at Corporate Technology, Siemens’ global research organization. Prior he worked at the Artificial Intelligence department and the Center of Excellence of Cognitive Interaction Technology at the University of Bielefeld. His…
Great interdisciplinary forum at the HHL Investor Day: 4th HHL International Investors Day kicked off with a panel on “Artificial Intelligence”. The round with moderator Frank Schmiechen (Chief Editor, Gründerszene) contains Fabian Westerheide (Coordinator Al, Bundesverband Deutsche Startups e.V.), Dr. Ulli…
Abstract: We address fine-grained entity classification and propose a novel attention-based recurrent neural network (RNN) encoderdecoder that generates paths in the type hierarchy and can be trained end-to-end. We show that our model performs better on fine-grained entity classification than…
Artificial Intelligence, Robotics and Smart Machines: Smart Machines – the Future of Digitalization and Artificial Intelligence“ – what a great event and organization in Erlangen. Thanks for giving me the opportunity to discuss and share some aspects on our Artificial…
In the course of three days and two sleepless nights, 13 groups of Siemens hackers developed artificial intelligence (AI) demonstrations that might have taken months to develop in a more structured environment. Artificial intelligence (AI) is a rapidly developing technology…
Abstract: The AAAI 2014 Fall Symposium Series was held Thursday through Saturday, November 13–15, at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. The titles of the seven symposia were Artificial Intelligence for Human-Robot Interaction, Energy Market…
Abstract: We present an implemented approach to transform natural language sentences into SPARQL, using background knowledge from ontologies and lexicons. Therefore, eligible technologies and data storage possibilities are analyzed and evaluated. The contributions of this paper are twofold. Firstly, we…
Abstract: In today‘s (big) data-intensive world, scalable technologies enabling the efficient management, storage and analysis of large data set are needed. However, the underlying logic of the emerging data-driven business is very different to the established understanding of the traditional…
Abstract: This paper presents Linked Health Answers, a natural language question answering systems that utilizes health data drawn from the Linked Data Cloud. The contributions of this paper are three-fold: Firstly, we review existing state-of-the-art NLP platforms and components, with a special…
November 13–15, 2014. Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. Motivation and Scope: Today’s enterprises need to make decisions based on analyzing massive and heterogeneous data sources. More and more aspects of decision making are driven by…
Abstract: This paper describes USI Answers — a natural language question answering system for enterprise data. We report on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of…
