Andreas Waldis Andreas Waldis

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

Waldis, Andreas (2022). Composing Structure-Aware Batches for Pairwise Sentence Classification. Findings of the Association for Computational Linguistics: ACL 2022, 2022, 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.

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

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; Siegfried, 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.