Prof. Dr. Achim Rettinger
Direktor
Information Process Engineering
Werdegang
Prof. Dr. 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.
Achim Rettinger 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.
- +49 721 9654-838
- rettinger@fzi.de
- Hauptsitz Karlsruhe
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
- 2021 Semantic Web Outstanding Paper Award (2018)
- Winner YIN Award (2018)
Publikationen
Publikationen
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