PhD Defense: Konstantina Lazaridou defended her thesis "Revealing Hidden Patterns in Political News and Social Media with Machine Learning" on March 2nd 2021 (Supervision with Felix Naumann from HPI) [slides]
Plattform lernende Systeme, Drei Fragen an Alexander Löser, KI im Mittelstand: Chancen in der Wertschöpfungskette erkennen [Link]
Invited Talk: Tom Oberhauser was invited to the DFKI Research Colloquium to give a talk about "Bi-Encoders for Small-Data Named Entity Linking"
Paper accepted: Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix Gers, Alexander Löser: Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics EACL 2021 [Link]
Paper accepted: Jens-Michalis Papaioannou, Manuel Mayrdorfer, Sebastian Arnold, Felix A. Gers, Klemens Budde and Alexander Löser: Aspect-based Passage Retrieval with Contextualized Discourse Vectors, Proceedings of the 43rd European Conference on Information Retrieval ECIR 2021
Sebastian Arnold has successfully completed his PhD [Slides]
Data Science und Humanoide Robotik: Neue Forschungsverbünde an der Beuth Hochschule [Link]
Paper accepted: Tom Oberhauser, Tim Bischoff, Karl Brendel, Maluna Menke, Tobias Klatt, Amy Siu, Felix Alexander Gers and Alexander Löser: TrainX – Named Entity Linking with Active Sampling and Bi-Encoders. COLING 2020 Demo Track
eco Akademie Webinar, Legal Tech: Einsatzmöglichkeiten von KI am Beispiel NLP und Semantische Suche (Vortrag: Alexander Löser)
Paper accepted: Betty van Aken, Benjamin Winter, Felix A. Gers and Alexander Löser. VisBERT: Hidden-State Visualizations for Transformers. Accepted to The Web Conference 2020 (WWW'20) Demo Track
Paper accepted: Rudolf Schneider, Tom Oberhauser, Paul Grundmann, Felix Alexander Gers, Alexander Loeser and Steffen Staab: Is Language Modeling enough? Evaluating Effective Embedding Combinations LREC 2020
Paper accepted: Konstantina Lazaridou, Alexander Löser, Maria Mestre, Felix Naumann : Discovering Biased News Articles Leveraging Multiple Human Annotations. LREC 2020
Best Thesis Award: Team members Thomas Steffek with bachelor's thesis "Neural Facet Detection on Medical Resources" and Tom Oberhauser with master's thesis "Neural Information Retrieval with Vector Space Queries" awarded degrees with distinction as best faculty thesis in Summer Term 2019
Germany's leading AI-Plattform "Learning Systems" (BMBF) publishes results. Alexander Löser is one of the experts recommending deep learning techniques for next generation AI applications
BMWi recommends AI project servicemeister for funding (initial study phase 1). Project members are Beuth, Karlsruhe Institute of Technology, USU AG, eco e.V.
Our MACSS project with the Charité and the SAP will be awarded the Max Rubner Preison January 15, 2019. The project is about measures to prevent a kidney transplant or to keep a transplanted kidney "in" longer. (Increase therapy adherence).
Paper accepted: Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A. Gers and Alexander Löser. "SECTOR: A Neural Model for Coherent Topic Segmentation and Classification." Transactions of the Association for Computational Linguistics (2019).
Paper accepted: Torsten Kilias, Alexander Löser, Felix Gers, Ying Zhang, Richard Koopmanschap and Martin Kersten. "IDEL: In-Database Neural Entity Linking". IEEE BigCom 2019
Invited Talk at BISCUITS first workshop on Software Foundations for Data Interoperability with Alex Löser at Kyoto University, Japan (21.3.2018)
Paper accepted: Rudolf Schneider, Sebastian Arnold, Tom Oberhauser, Tobias Klatt, Thomas Steffek, Alexander Löser, "Smart-MD: Neural Paragraph Retrieval of Medical Topics". In WWW ’18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, France. ACM, New York, NY, USA, 4 pages. [video]
Former Team Member Cordula Guder (now with SAP Innovation Center) awarded as best master student in computer science at Beuth for winter term 17/18.
Paper accepted: Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, and Alexander Löser, “Analysing Errors of Open Information Extraction Systems,” accepted for BLGNLP 2017 Building Linguistically Generalizable NLP Systems at EMNLP 2017
Lukas Abegg with Thesis on "Maschine Learning for Search Engine Optimization" awarded as best bachelor student for summer term 2017.
PT Jühlich recommends EXIST SEED Project Pyramics: The technique recognizes from a mini-camera at the shop flor faces, age, sex and viewing angles of potential customers. Alexander Löser from DATEXIS mentors the team.
The development of ICT for big data management is a logical priority of the Federal Ministry of Economics and Technology, and one which particularly merits support. The Big Data Managament Report of the BMWi is online now. Alexander Löser coordinated this effort in 2013.
Talk at CEBIT (Hall 9 / Stand 43) in collaboration with the German Research Center for Artifical Intelligence (DFKI).
11/3/2014 Talk at CEBIT (Hall 9 / Stand E24) in collaboration with BMWi
02/2014: Final presentations for Enterprise Data Management class are online.
10/01/2014 PhD Defense: Klemens Muthmann defended his Ph.D. thesis "Community based Answer Detection" at TU Dresden. Alexander Löser was part of the comitee. Congrats to Klemens!
12/2013 Paper Informatik Spektrum 12/2103:Preismodelle für Datenmarktplatze. Florian Stahl, Alexander Löser and Gottfried Vossen.