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

AI & Machine Learning with Meaningful Impact

10. August 2016 · by Ulli Waltinger · in Allgemein

My research connects the concepts and methods of social networks and the semantic web with machine learning and natural language processing. I am interested in combining human intelligence with artificial intelligence methodologies. I am specifically interested in methods that bridge the areas of connectionism and symbolic models applied to real-world applications

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

21. September 2012 · by Ulli Waltinger · in 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…

Internet-based Communication

21. Mai 2012 · by Ulli Waltinger · in Publications

Title: Internet-based Communication Authors: Ulli Waltinger and Alexa Breuing Pub/Conf:  Handbook of Applied Linguistics. Mehler A, Romary L, Gibbon D (Eds);Technical Communication Berlin/New York: Mouton de Gruyter. 2012 Abstract: Today, internet-based communication encompasses a broad range of media services and technologies….

Building a DDC-annotated Corpus from OAI Metadata

21. Juni 2011 · by Ulli Waltinger · in Publications

Title: Building a DDC-annotated Corpus from OAI Metadata Authors:  Mathias Lösch, Ulli Waltinger, Wolfram Horstmann, Alexander Mehler Pub/Conf:  Journal of Digital Information 12(2). Abstract: Document servers complying to the standards of the Open Archives Initiative (OAI) are rich, yet seldom exploited…

Hierarchical Classification of OAI Metadata Using the DDC Taxonomy

15. Juni 2011 · by Ulli Waltinger · in Publications

Title: Hierarchical Classification of OAI Metadata Using the DDC Taxonomy Authors:  Ulli Waltinger, Alexander Mehler, Mathias Lösch, Wolfram Horstmann Pub/Conf:  Advanced Language Technologies for Digital Libraries, Lecture Notes in Computer Science Volume 6699, 2011, pp 29-40 Abstract: In the area…

Talking Topically to the Artificial Agent Max

22. März 2011 · by Ulli Waltinger · in Publications

Title: Talking Topically to the Artificial Agent Max Authors: Breuing A, Waltinger U, Wachsmuth I Pub/Conf: Postersession at the Interdisciplinary College. Sankt Augustin, Germany: 488. 2011 Abstract: How do we recognize a topic in dialog? How can we detect topic shifts?…

SFB 673 - X1: Multimodal alignment corpora: statistical modeling and information management

SFB 673 – X1: Multimodal alignment corpora: statistical modeling and information management

15. November 2010 · by Ulli Waltinger · in Research

SFB 673 – Alignment in Communication Summary X1 – Multimodal alignment corpora: statistical modeling and information management. Project: X1: Multimodal alignment corpora: statistical modeling and information management Supervisor(s): Alexander Mehler, Hannes Rieser, Hans-Jürgen Eikmeyer Co-Member(s): Rüdiger Gleim, Peter Menke Affiliated:…

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Twitter: ulliwaltinger

Ulli Waltinger
  • RT @etzioni: What happens if you drink coffee & take Ibuprofen? Discover supplement-drug interactions here: https://t.co/mJ29A2GWyL A fre… 05:31:06 PM September 21, 2019 from Twitter for iPhone ReplyRetweetFavorite
  • RT @TensorFlow: Introducing DeepPavlov: an open-source library for developing dialogue systems and chatbots! Learn more in this guest post… 11:16:20 PM September 19, 2019 from Twitter for iPhone ReplyRetweetFavorite
  • RT @arstechnica: Facebook and Google have ad trackers on your streaming TV, studies find https://t.co/y1kqQGeOy2 10:06:03 PM September 19, 2019 from Twitter for iPhone ReplyRetweetFavorite
  • RT @Siemens_Schweiz: Ready for #ArtificialIntelligence? Noch 3 Stunden bis zu unserem Event "AI Meets Society: responsibly designing smart… 09:32:32 PM September 19, 2019 from Twitter for iPhone ReplyRetweetFavorite
  • RT @Siemens_Schweiz: Which country has #AI superpowers? Big discussion about that topic at #tech meets #society. There is not only China an… 09:29:08 PM September 19, 2019 from Twitter for iPhone ReplyRetweetFavorite
  • RT @NeuhauserRob: 13min to go, till our panel discussion about Responsible #AI starts. Looking forward to discuss with ⁦@DolakFranziska⁩, ⁦… 12:53:53 PM September 19, 2019 from Twitter for iPhone ReplyRetweetFavorite
  • End or dawn era 🤔 #Keras actually targeted the first open-source #LSTM version inspired by sklearn (.fit() .predict… https://t.co/OTXVYkCHHS 08:53:56 PM September 18, 2019 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. His primary interests are combining data-driven and semantic technology-driven machine learning algorithms for AI, information retrieval and NLP challenges. Ulli Waltinger has more than 40 peer-reviewed publications in the field of computer science, artificial intelligence, computational linguistics, and cognitive science.

Tags

AI Artificial Intelligence CITEC Cognitive Interaction Deep Learning Digital Libraries Information Retrieval Knowledge Modeling & Retrieval Machine Intelligence Machine Learning Natural Language Processing Question Answering Responsible AI ResponsibleAI SiemensAI Siemens AI Siemens AI Lab Siemens Artificial Intelligence Social Semantics statistical modeling Text Analysis Web Mining

Neue Beiträge

  • Talk: AI Meets Society: responsibly designing smart systems & infrastructures, 19th September 2019, Zug, Swiss 19. September 2019
  • Podcast: Speed Change Repeat – Potential of Industrial AI, the Big Ship of Digitalization, and the Corporate Innovation Dilemma 29. August 2019
  • Talk: Responsible Industrial Artificial Intelligence, AI Summit Vietnam, 16th August 2019, Hanoi, Vietnam 16. August 2019
  • Panel: Nexus Hackathon Water-Food-Energy Nexus – sustainable urban development, 28th July 2019, Munich, Germany 28. Juli 2019
  • Panel: Siemens AI Lab Summit, 24th of June 2019, Munich 24. Juni 2019

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