Waldis Andreas HSLU I

Andreas Waldis Andreas Waldis

Research Associate Doctoral Student

Waldis Andreas HSLU I

Lucerne School of Computer Science and Information Technology

Room 7.50
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Research

Research Associate Doctoral Student

+41 41 228 24 67

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Projects

Research projects

  • Music DNA - Personalised Event Matching
  • P2Sr Profila Privacy Simplified reloaded
  • Konzeptansatz Graph neuronales Netzwerk
  • ARGUMENT REPRESENTATION LEARNING (ARL)
  • ITC Solar Netzwerk
  • IAC
  • ChatBot-like students' Q&A
  • P2S : Profila Privacy Simplified - Innovation Cheque
  • Automatisierte Empfehlungen für Aus- und Weiterbildungen mittels Bildungsgraphen
  • X-MAS: Cross-Plattform Mediation, Association and Search Engine
  • Intuitive Knowledge Connectivity
  • Intuitive Knowledge Connectivity

Publications and presentations

Publications and presentations - Article, review; peer reviewed

  • Erben, Stefan & Waldis, Andreas (2024). ScamSpot: Fighting Financial Fraud in Instagram Comments. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 71-81.
  • Waldis, Andreas; Yufang, Hou & Gurevych, Iryna (2024). Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. Findings of the Association for Computational Linguistics, 2024, 2197-2214.
  • Falk, Neele; Waldis, Andreas & Gurevych, Iryna (2024). Overview of PerpectiveArg2024 The First Shared Task on Perspective Argument Retrieval. Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024), 130-149.
  • Waldis, Andreas; Yufang, Hou & Gurevych, Iryna (2024). How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, 14878-14898.
  • Beck, Tilman; Waldis, Andreas & Gurevych, Iryna (2023). Robust Integration of Contextual Information for Cross-Target Stance Detection. Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023, 494-511.
  • Shankar, Atreya; Waldis, Andreas; Bless, Christof; Andueza Rodriguez, Maria & Mazzola, Luca (2023). PrivacyGLUE: A Benchmark Dataset for General Language Understanding in Privacy Policies. Applied Sciences / MDPI, 13(6), 3701. doi: https://doi.org/10.3390/app13063701
  • Beck, Tilman; Gurevych, Iryna & Waldis, Andreas (2022). Composing Structure-Aware Batches for Pairwise Sentence Classification. Findings of the Association for Computational Linguistics, 20022, 3031-3045.
  • Mazzola, Luca; Waldis, Andreas; Shankar, Atreya; Argyris, Diamantis; Denzler, Alexander & Michiel, van Roey (2022). Privacy and Customer’s Education: NLP for Information Resources Suggestions and Expert Finder Systems. LNCS, Lecture Notes in Computer Science, 2022(13333), 62-77. doi: 10.1007/978-3-031-05563-8_5
  • Waldis, Andreas; Denzler, Alexander & Mazzola, Luca (2020). Towards eXplainable AI in Text Features Engineering for Concept Recognition. [Besprechung des Buchs Waldis A., Mazzola L., Denzler A. (2020) Towards eXplainable AI in Text Features Engineering for Concept Recognition. In: Espinosa-Anke L., Martín-Vide C., Spasić I. (eds) Statistical Language and Speech Processing. SLSP 2020. Lecture Notes in Computer Science, vol 12379. Springer, Cham. https://doi.org/10.1007/978-3-030-59430-5_10]. Lecture Notes in Computer Science, LNCS, 2020(12379), 122-133.
  • Mazzola, Luca; Siegfried, Patrick; Waldis, Andreas; Kaufmann, Michael & Denzler, Alexander (2018). A domain specific ESA inspired approach for document semantic description. Proceedings of the 2018 IEEE International Conference on Intelligent Systems (IS), nd.
  • Waldis, Andreas; Mazzola, Luca & Kaufmann, Michael (2018). Concept Extraction with Convolutional Neural Networks. Proceedings of the 7th International Conference on Data Science, Technology and Applications, 118-129.

Publications and presentations - Article, review; not peer reviewed

  • Waldis, Andreas & Mazzola, Luca (2021). Nested and Balanced Entity Recognition using Multi-Task Learning. arXiv preprint, 1-10.

Publications and presentations - Chapter/legal commentary/lexicon article

  • Mazzola, Luca; Stalder, Florian; Waldis, Andreas; Siegfried, Patrick; Renold, Christian; Reber, David & Meier, Philipp (2021). Security Rules Identification and Validation: The Role of Explainable Clustering and Information Visualisation. In Stephanidis C., Antona M., Ntoa S. (Hrsg.), Communications in Computer and Information Science (CCIS) - Proceedings of HCI International 2021 (Vol.1420, S. 431-438). Cham, CH: Springer Nature Switzerland AG.
  • Mazzola, Luca; Siegfried, Patrick; Waldis, Andreas; Stalder, Florian; Denzler, Alexander & Kaufmann, Michael (2020). A Domain Specific ESA Method for Semantic Text Matching. Intelligent Systems: Theory, Research and Innovation in Application (S. 25-49). Cham: Springer Nature Switzerland AG.
  • Waldis, Andreas; Mazzola, Luca & Kaufmann, Michael (2019). Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. In Quix C., Bernardino J. (eds) (Hrsg.), Data Management Technologies and Applications. DATA 2018. Communications in Computer and Information Science, vol 862. (S. 160-188). Cham: Springer Nature Switzerland AG.
  • Kaufmann, Michael; Waldis, Andreas; Williner, Patrick; Wilke, Gwendolin; Portmann, Edy & Hemmje, Matthias (2016). Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks. In Franz Lehner, Nora Fteimi (Hrsg.), Knowledge Science, Engineering and Management (S. 337-348). Cham, Switzerland: Springer International Publishing.