Profil

Prof. Dr. Achim Rettinger

Portraitfoto Prof. Achim Rettinger

Prof. Dr. Achim Rettinger

Direktor
Information Process Engineering

Werdegang

Achim Rettinger ist Professor für Computerlinguistik an der Universität Trier.

Er hat an der TU München promoviert und sich am KIT habilitiert, beides im Bereich des maschinellen Lernens zur Auswertung von Texten und Wissensgraphen.

Er erforscht menschliches Kommunikationsverhalten, sowohl in Medien als auch in Unternehmen, um das inhaltliche Wissen verfügbar und Muster in der externen und internen Kommunikation sichtbar zu machen.

Auszeichnungen und Erfolge

  • IJCAI Distinguished Senior Program Committee Member
  • Representative Speaker of the Young Investigator
    Network at KIT (network of research group leaders, without tenure)
  • Senior Program Committee Member of International Semantic Web Conference (ISWC) 2021
  • Senior Program Committee Member of International Joint Conferences on
    Artificial Intelligence (IJCAI) 2020
  • Senior Program Committee Member of International Semantic Web Conference (ISWC) 2019
  • Editorial Board Member of Machine Learning and Artificial Intelligence of Frontiers in Big Data
  • Program Committee Member of International Conference on Learning Representations (ICLR) since 2018
  • Program Committee Member of Neural Information Processing Systems Conference (NeurIPS) since 2016
  • Program Committee Member of International Joint Conferences on Artificial Intelligence (IJCAI)
  • Program Committee Member of Association for the Advancement of Artificial Intelligence (AAAI) since 2012
  • International Semantic Web Conference (ISWC) since 2016
  • Program Committee Member of International Conference on Machine Learning (ICML) since 2018

Meine Vorträge

Vortrag: Oktober 2019

Presentation on Towards Imposing Perception Structures on Concept Embeddings / Tsinghua University, Peking

Vortrag: September 2018

Presentation for SFB 1171 „Affective Societies“ on Computational Models of Sentiment, Opinion, Emotion and Affect/ FU-Berlin

Vortrag: April 2019

Presentation on Knowledge-Guided Multiview Learning for Generalizing to Unseen Data/ Roche, Basel

Vortrag: Februar 2017

Presentation on Towards Breaking the Language and Modality Barrier - Learning Cross-lingual Cross-modal Semantic Representations / Carnegie Mellon University, Language Technologies Institute Colloquium

Vortrag: November 2018

Presentation on Combining Semantic Technologies with Machine Learning for advanced analytics of heterogenous content / Bosch Research, Renningen

Vortrag: Januar 2017

Presentation on Applications of Crosslingual Cross-modal Technologies / IBM T. J. Watson Research Center, USA