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…

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…

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…

Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding

Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding

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

Title: Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding Authors: Alexander Mehler and Ulli Waltinger Pub/Conf:  Modeling, Learning and Processing of Text Technological Data Structures. Mehler A, Henning Lobin and Harald Lüngen and K-UK, Storrer A, Witt…

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About

Ulli Waltinger is the Vice President & Partner for Artificial Intelligence & IoT (#AIoT) at Siemens Advanta and a Fellow of the Siemens AI Lab. Prior he was the Head of the Machine Intelligence Research Group and the Technology Head of the Siemens AI Lab at Siemens Corporate Technology, Siemens’ global research organization

Tags

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

Neue Beiträge

  • Talk: Industrial AI Readiness: Unlocking the Potential for Intelligent Manufacturing, HM25 – Hannover Fair, Masterclass, 3rd April 2025 3. April 2025
  • Talk: Accelerating Vaccine Development: Towards AI-driven Autonomous Manufacturing in Pharma, WHO, Sixth Global Vaccine and Immunization Research Forum, 27th March 2025, Rio 26. März 2025
  • Talk: Siemens Industrial Copilots: Value & Value Generation in Generative AI, appliedAI, Incremental Savings – Business Model Innnovation, 20th March 2025, Munich 20. März 2025

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