Dr. Ulli Waltinger
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Applied Artificial Intelligence & Machine Learning Research
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AI & Machine Learning Research with Meaningful Impact

AI & Machine Learning Research with Meaningful Impact

10. August 2016 · by Ulli Waltinger · in Allgemein

I am curious about the foundations of computational intelligence, specifically methodologies that bridge the areas of connectionist and symbolic learning applied to real-world AI, Machine Learning and NLP applications. I am passioned about enabling an open and interdisciplinary research and…

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…

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…

AAAI 2014 Fall Symposium: Natural Language Access to Big Data (NLA2BD)

AAAI 2014 Fall Symposium: Natural Language Access to Big Data (NLA2BD)

23. April 2014 · by Ulli Waltinger · in Project

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…

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…

USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data

USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data

14. Juli 2013 · by Ulli Waltinger · in Project, Publications

Abstract: The paper reports on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data…

Connecting Question Answering and Conversational Agents: Contextualizing German Questions for Interactive Question Answering Systems

Connecting Question Answering and Conversational Agents: Contextualizing German Questions for Interactive Question Answering Systems

21. November 2012 · by Ulli Waltinger · in Project, Publications

Abstract: Research results in the field of Question Answering (QA) have shown that the classification of natural language questions significantly contributes to the accuracy of the generated answers. In this paper we present an approach which extends the prevalent question…

Knowledge Enhanced Embodied Cognitive Interaction Technology (KnowCIT)

Knowledge Enhanced Embodied Cognitive Interaction Technology (KnowCIT)

14. November 2012 · by Ulli Waltinger · in Research

CITEC – Cognitive Interaction Technology – Center of Excellence Summary The project has built a technology which enables artificial agents to explore “crowdsourced” knowledge resources generated by large communities of web users. Project: Knowledge Enhanced Embodied Cognitive Interaction Technology Supervisor(s): Ipke…

WikiQA - Question Answering

WikiQA – Question Answering

11. November 2012 · by Ulli Waltinger · in Project, Research

WikiQA is a German open domain question answering system that uses the Wikipedia as a knowledge base to answer natural language questions. It has been developed by the KnowCIT project (Artificial Intelligence Group) within the CITEC at Bielefeld University. Using…

Digital Fruits For Lunch: Feeding Embodied Conversational Agents With Wikipedia Knowledge

Digital Fruits For Lunch: Feeding Embodied Conversational Agents With Wikipedia Knowledge

4. November 2011 · by Ulli Waltinger · in Publications

Title: Digital Fruits For Lunch: Feeding Embodied Conversational Agents With Wikipedia Knowledge Authors: Ulli Waltinger, Alexa Breuing, Ipke Wachsmuth Pub/Conf: Interdisciplinary College Abstract: Recent advances in Artificial Intelligence and Natural Language Processing have enhanced the vision of using embodied conversational…

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Ulli Waltinger
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@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 KI Knowledge Graph Künstliche Intelligenz Machine Intelligence Machine Learning Natural Language Processing Question Answering Responsible AI SiemensAI Siemens AI Siemens AI Lab Siemens Artificial Intelligence Social Semantics statistical modeling Sustainability Symbolic Learning

Neueste Beiträge

  • Chair: AI Implementation Track – How to scale AI implementations for businesses, The AI Summit New York, 10th of December 2020 10. Dezember 2020
  • Talk: Building Solutions on Trust: Implementing Trustworthy AI in Manufacturing, World Summit AI 2020, 29th October 2020 29. Oktober 2020
  • 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

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