Selected publications

We publish in the field of basic research in the areas of computational linguistics, information systems, computer vision or machine learning.


    1. Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix Gers, Alexander Löser: Self-Supervised Knowledge Integration for Clinical Outcome Prediction from Admission Notes, EACL 2021
    2. 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)
    3. 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
    4. Betty van Aken Benjamin Winter Winter Felix Gers Alexander Löser, VisBERT: Hidden-State Visualizations for Transformers. The Web Conference 2020
    5. Rudolf Schneider Tom Oberhauser Paul Grundmann Felix Alexander Gers Alexander Löser, Steffen Staab: Is Language Modeling Enough? Evaluating Effective Embedding Combinations. LREC 2020
    6. Konstantina Lazaridou Maria Rosario Mestre Alexander Löser Felix Naumann: Discovering Biased News Articles Leveraging Multiple Human Annotations" is on news media bias detection with crowd-sourcing and curriculum learning. LREC 2020
    7. Livne, Michelle and Rieger, Jana and Aydin, Orhun and Taha, Abdel and Akay, Ela and Kossen, Tabea and Sobesky, Jan and Kelleher, John and Hildebrand, Kristian and Frey, Dietmar and Madai, Vince:U-net Deep Learning Framework for High Performance Vessel Segmentation in Patients with Cerebrovascular Disease, Frontiers in Neuroscience 2019
    8. Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser: Learning Contexualized Document Representations for Heathcare Answer Retrieval, ACM WWW 2020
    9. Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, Antonio Jimeno Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah, Aurélie Névéol Mariana Neves, Felipe Soares, Amy Siu, Karin Verspoor, Maika Vicente Navarro. Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies. Conference on Machine Translation (WMT) at  ACL, 2019.
    10. Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, Antonio Jimeno Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah, Aurélie Névéol Mariana Neves, Felipe Soares, Amy Siu, Karin Verspoor, Maika Vicente Navarro. Automatic Translation of Biomedical Texts: The Biomedical Task at the Workshop for Machine Translation. AMIA (American Medical Informatics Association) NLP (Natural Language Processing) Working Group Pre-Symposium: Community Challenges/Workshops, 2019.
    11. Felix Biessmann, Tammo Rukat, Philipp Schmidt, Prathik Naidu, Sebastian Schelter, Andrey Taptunov, Dustin Lange, David Salinas: DataWig - Missing Value Imputation for Tables 2019, Journal of Machine Learning Research (JMLR).
    12. Sebastian Schelter, Tammo Rukat, Felix Biessmann: Learning to Validate the Predictions of Black Box Classifiers on Unseen Data ACM SIGMOD 2020
    13. Krauss C., Merceron, A., Arbanowski, S.:  The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems for Closed-Courses.
      Proceedings of the 9th International Conference on Learning Analytics & Knowledge
      Tempe, AZ, USA — March 04 - 08, 2019 , ACM, pp. 195-204, doi>10.1145/3303772.3303774
    14. Agathe merceron, Chair International Educational Data Mining Conference 2019, Proceedings of the 12th International Conference on Educational Data Mining EDM2019. Desmarais, M., Lynch, C. Merceron, A. and Nkambou, R (Eds), Montréal, Canada, July 2-5, 2019, ISBN: 978-1-7336736-0-0
    15. , , , , , , , : Differential Data Quality Verification on Partitioned Data. ICDE : 1940-1945
    16. , , , , , , , :Unit Testing Data with Deequ. SIGMOD Conference : 1993-1996
    17. , , , : How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations. ACM CIKM
    18. , , , , :
      SECTOR: A Neural Model for Coherent Topic Segmentation and Classification. TACL 7: 169-184 ()
    19. , , , , , : Automating Large-Scale Data Quality Verification. PVLDB 11(12): 1781-1794 ()
    20. , , , , :
      "Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data. ACM CIKM : 2017-2025
    21. , , : HighLife: Higher-arity Fact Harvesting. ACM WWW : 1013-102, Best paper award (see paper)
    22. Smart-MD: Neural Paragraph Retrieval of Medical Topics". In ACM WWW ’18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, France. ACM, New York, NY, USA, 4 pages. [video]
    23. Rudolf Schneider, , , , : RelVis: Benchmarking OpenIE Systems. International Semantic Web Conference (Posters, Demos & Industry Tracks)
    24. 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
    25. Troung-Sinh An, Agathe Merceron, Cristopher Krauss,  "Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses?" at EDM 2017
    26.  ACM TOG (Transaction on Graphics) 2017:Optimal discrete slicing on 3D printing optimization. Kristian Hildebrand, Marc Alexa und Sylvain Lefebvre
    27. Interactive Relation Extraction in Main Memory  Database Systems. Rudolf Schneider, Cordula Guder, Torsten Kilias, Alexander Löser, Jens Graupmann and Oleksandr Kozachuk. COLING 2016
    28. TASTY: Interactive Entity Linking As-You-Type. Sebastian Arnold, Robert Dziuba, Alexander Löser. COLING 2016
    29. Sebastian Arnold, Felix A. Gers, Torsten Kilias, Alexander Löser: Robust Named Entity Recognition in Idiosyncratic Domains. arXiv:1608.06757 [cs.CL] 2016
    30. Resolving Common Analytical Tasks in Text Databases. Sebastian Arnold, Alexander Löser, Torsten Kilias.  ACM DOLAP 2015
    31. Proceedings of the 5th International Conference on Learning Analytics and Knowledge, ACM LAK15: Blinkstein, A.; Merceron, A.; Siemens, G.; Baron, J.; Marziaz, N.; Lynch, G. (Eds), Poughkeepsie, NY, USA, March 16-20, 2015, ACM, ISBN: 978-1-4503-3417-4
    32. INDREX: In-database relation extraction. Torsten Kilias, Alexander Löser, Perikilis Andritsos Elsevier Information Systems Journal. 2015
    33. Asif, R., Merceron, A. and Pathan, M.K.: Investigating Performance of Students: a Longitudinal Study. ACM LAK 15, Blinkstein, A.; Merceron, A.; Siemens, G.; Baron, J.; Marziaz, N.; Lynch, G. (Eds), Poughkeepsie, NY, USA, March 16-20, 2015, ACM, ISBN: 978-1-4503-3417-4.
    34. Johannes Kirschnick, Torsten Kilias, Holmer Hemsen, Alexander Löser, Peter Adolphs, Heiko Ehrig, Holger Düwiger: A Marketplace for Web Scale Analytics and Text Annotation Services. COLING (Demos) 2014: 100-104
    35. Torsten Kilias, Alexander Löser, Periklis Andritsos: INDREX: in-database distributional relation extraction. ACM DOLAP 2013: 93-100

    2012 and before

    • A. Krueger, A. Merceron, B. Wolf:A Data Model to Ease Analysis and Mining of Educational Data Proc. 3rd International Conference on Educational Data Mining EDM2010, Pittsburgh, USA, June 11-13, pp. 131-140, ISBN: 978-0-615-37529-8.
    • Baker, R.S.J.d., Merceron, A., Pavlik, P.I. Jr. (Eds),
      Pittsburgh, PA, USA, June 11-13, 2010, ISBN: 978-0-615-37529-8. Proceedings of the 3rd International Conference on Educational Data Mining EDM2010.
    • A. Merceron, K. Yacef: Interestingness Measures for Association Rules in Educational Data Proceedings of the first International Conference on Educational Data Mining (EDM'08), Montreal, Canada, ISBN - 10: 0615306292. Nominated for best paper award.
    • Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber: Learning Precise Timing with LSTM Recurrent Networks. Journal of Machine Learning Research 3: 115-143 (2002)

    National conferences

    • Gers F., Bießmann F. Deep Learning im Inverted Classroom Szenario, Berlin Journal of Data Science 2020
    • Florian Stahl, Alexander Löser, Gottfried Vossen: Preismodelle für Datenmarktplätze. Informatik Spektrum 38(2): 133-141 (2015)
    • Herrmann F.; Sauer P.: Fachspezifische 3D-Modelle in Oracle Spatial. DOAG Konferenz, Nürnberg, 2013;
    • Krämer M.; Sauer P.: Integration von Geodaten und Daten des Facility Managements zur Verbesserung der Liegenschaftsverwaltung. In: Angewandte Forschung zur Stadt der Zukunft, Logos Verlag Berlin, S. 49 – 52, 2013
    • Sauer P.; Herrmann F.; Matusewicz J.: Virtuelle Integration von Datenquellen mit einer Graph-Datenbank. Fossgis2014, Berlin, 2014, S. 11 – 14;