Dr. Ulli Waltinger
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Applied Artificial Intelligence & Machine Learning Research
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NAACL-HLT 2019: News Article Teaser Tweets and How to Generate Them, Minneapolis, USA, June 2nd, 2019

NAACL-HLT 2019: News Article Teaser Tweets and How to Generate Them, Minneapolis, USA, June 2nd, 2019

1. Juni 2019 · by Ulli Waltinger · in Conference, Project, Publications

Abstract: We define the task of teaser generation and provide an evaluation benchmark and baseline systems for it. A teaser is a short reading suggestion for an article that is illustrative and includes curiosity-arousing elements to entice potential readers to…

Talk/Panel: Trust and Responsibility in Industrial Artificial Intelligence, HSG Alumni Deutschland Konferenz, Frankfurt, 4-6th April 2019

Talk/Panel: Trust and Responsibility in Industrial Artificial Intelligence, HSG Alumni Deutschland Konferenz, Frankfurt, 4-6th April 2019

5. April 2019 · by Ulli Waltinger · in Conference, Project, Publications, Talk

#TrustReloaded – the main theme of the HSG A. Alumni Deutschland Konferenz 2019 in Frankfurt. #Algorithms play a big role in business decisions. That’s why it needs „best practices“ for managers how to mitigate the risks and profit from the…

Frankfurter Allgemeine Zeitung: Wie Künstliche Intelligenz der Industrie hilft 2018

Frankfurter Allgemeine Zeitung: Wie Künstliche Intelligenz der Industrie hilft 2018

2. Oktober 2018 · by Ulli Waltinger · in About, Allgemein, Project, Publications

Seit mehr als 20 Jahren arbeitet Siemens mit Künstlicher Intelligenz. Vergangenes Jahr hat der Konzern ein eigenes KI-Labor eröffnet. Doch ein Schulbus und ein Vogelstrauß zeigen, dass noch viel zu tun ist… Nice article about our work at Siemens AI…

Meetup: Artificial Intelligence & the Creative State of Mind, June 19th 2018, Munich

Meetup: Artificial Intelligence & the Creative State of Mind, June 19th 2018, Munich

19. Juni 2018 · by Ulli Waltinger · in MeetUp, Project, Publications

Creativity is a fundamental aspect of human intelligence and an interesting challenge for AI. Are Machine Learning and AI technologies capable of Creativity? New artificial intelligence systems are using techniques such as generative adversarial networks to develop creativity and originality…

End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification

End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification

30. April 2017 · by Ulli Waltinger · in Project, Publications

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…

Reports on the 2014 AAAI Fall Symposium Series

Reports on the 2014 AAAI Fall Symposium Series

30. Oktober 2015 · by Ulli Waltinger · in Project, Publications

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…

Ontology-based translation of natural language queries to SPARQL

Ontology-based translation of natural language queries to SPARQL

7. November 2014 · by Ulli Waltinger · in Project, Publications

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…

Smart Data Access: Semantic Web Technologies for Energy Diagnostics

Smart Data Access: Semantic Web Technologies for Energy Diagnostics

23. Oktober 2014 · by Ulli Waltinger · in Project, Publications

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…

LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain

LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain

28. Mai 2014 · by Ulli Waltinger · in Project, Publications

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…

Natural Language Access to Enterprise Data

Natural Language Access to Enterprise Data

22. April 2014 · by Ulli Waltinger · in Project, Publications

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 whom…

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Twitter: ulliwaltinger

Ulli Waltinger
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  • RT @Riseof_AI: Have you heard about Industrial applied AI? No?😳 This topic is so important, you must join our #VirtualChat tomorrow. Fabi… 11:39:25 AM August 26, 2020 from Twitter for iPhone ReplyRetweetFavorite
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  • RT @GoogleAI: To address the challenges unique to offline #ReinforcementLearning, we are releasing an open-source benchmark, D4RL, as well… 09:31:41 AM August 21, 2020 from Twitter for iPhone ReplyRetweetFavorite
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  • RT @BrentToderian: “Someone with a 1-hr car commute needs to earn 40% more to be as happy as someone with a short walk to work. On the othe… 06:09:11 PM August 19, 2020 from Twitter for iPhone ReplyRetweetFavorite
@ulliwaltinger

About

Ulli Waltinger is the Head of the Research Group Machine Intelligence and Technology Head of the Siemens Artificial Intelligence Lab at Siemens Corporate Technology (Siemens AI Lab), Siemens’ global research organization. Prior he worked at the Artificial Intelligence Group and the Center of Excellence of Cognitive Interaction Technology at the University of Bielefeld. He is curious about the foundations of computational intelligence, specifically methodologies that bridge the areas of connectionist and symbolic learning applied to real-world AI and NLP applications. He is passioned about enabling an open and interdisciplinary research and innovation culture with meaningful impact to people`s life. Ulli contributes with >40 publications and >100 talks to the fields of computer science, artificial intelligence, computational linguistics, and cognitive science.

Tags

AI Artificial Intelligence Deep Learning Digital Libraries Industrial AI Information Retrieval Knowledge Graph Künstliche Intelligenz Machine Intelligence Machine Learning Natural Language Processing Question Answering ResponsibleAI Responsible AI Siemens AI SiemensAI Siemens AI Lab Siemens Artificial Intelligence Social Semantics statistical modeling Sustainability Symbolic Learning

Neueste Beiträge

  • Podcast: HUMAN & AI – Mind, machines and the gradient descent, Siemens AI Lab Podcast 23. Juni 2020
  • Hackathon: Artificial Intelligence for Sustainability Hackathon, Munich, Germany, 24th June 2020 1. Juni 2020
  • Podcast: Talking Digital Industries: AI in industry – Chance or Risk, 14th May 2020 14. Mai 2020
  • Podcast: Building Trust in Artificial Intelligence; Event: Siemens Infrastructure – Buildings of Tomorrow, Zug, Swiss, 8th of April 2020 8. April 2020
  • Mentor: WirVsVirus Hackathon, OnlineFestival, 22th March 2020 22. März 2020

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