Sebastian Arnold is a research assistant at DATEXIS at Beuth University of Applied Sciences Berlin and PhD student at Université de Fribourg. He graduated as MSc.-Inf. in computer science at Technische Universität Berlin by engaging an interactive classification of common search intentions. He is one of the main developers of the information extraction framework TeXoothe factual search engine GoOLAP and the interactive TASTY (Tag-as-you-type) editor. Off-the-record, he enjoys manifold activities as musician, drummer and hardware hacker. Sebastian is currently working on semantic document representations for question anwering, information retrieval and topic detection and tracking.

Research Interests

  • Text mining and information extraction
  • Distributional semantics
  • Deep learning / machine learning
  • Active learning / human-in-the-loop

Projects

  • SECTOR neural model for coherent topic segmentation and classification
  • WikiSection dataset for cliniclal topics in long documents
  • TeXoo Java framework for text analytics with deep learning
  • TASTY interactive entity linking "Tag-as-you-type"
  • GoOLAP factual search engine
  • Nerdle topic-expert question answering system
  • Senode interactive music sequencer

Publications

  • 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 Vol. 7: 169-184. [PDF] [code] [dataset]
  • Rudolf Schneider, Sebastian Arnold, Tom Oberhauser, Tobias Klatt, Thomas Steffek and Alexander Löser: Smart-MD: Neural Paragraph Retrieval of Medical Topics. World Wide Web Conference (Companion). IW3C2, 2018: 203–206 [PDF]
  • Sebastian Arnold, Robert Dziuba and Alexander Löser: TASTY: Interactive Entity Linking As-You-Type. COLING (Demos) 2016: 111–115 [PDF] [demo]
  • Sebastian Arnold, Felix A. Gers, Torsten Kilias and Alexander Löser: Robust Named Entity Recognition in Idiosyncratic Domains. arXiv:1608.06757 [cs.CL] 2016 [PDF] [code]
  • Sebastian Arnold, Alexander Löser and Torsten Kilias: Resolving Common Analytical Tasks in Text Databases. ACM Eighteenth International Workshop On Data Warehousing and OLAP. ACM 2015: 75–84 [PDF]
  • Umar Maqsud, Sebastian Arnold, Michael Hülfenhaus and Alan Akbik: Nerdle: Topic-Specific Question Answering Using Wikia Seeds. 25th International Conference on Computational Linguistics: Demos. ACM 2014: 81–85 [PDF] [demo]
  • Sebastian Arnold, Damian Burke, Tobias Dörsch, Bernd Löber and Andreas Lommatzsch: News Visualization based on Semantic Knowledge. International Semantic Web Conference (Posters & Demos) 2014: 5–8 [PDF]
  • Alexander Löser, Sebastian Arnold and Tillmann Fiehn: The GoOLAP Fact Retrieval Framework. Lecture Notes in Business Information Processing Vol 96, Business Intelligence. Springer Berlin Heidelberg, 2012: 84–97 [PDF] [demo]

Contact

E-Mail: sarnold (at) beuth-hochschule.de

Twitter: @sebastianarnold

https://www.xing.com/profile/Sebastian_Arnold18

https://www.linkedin.com/in/sebastianarnold/