Andreas Waldis

According to our database, Andreas Waldis authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization.

Andreas Waldis, Yufang Hou, Iryna Gurevych

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

ScamSpot: Fighting Financial Fraud in Instagram Comments.

Stefan Erben, Andreas Waldis

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Bridging Topic, Domain, and Language Shifts: An Evaluation of Comprehensive Out-of-Distribution Scenarios.

Andreas Waldis, Iryna Gurevych

CoRR, 2023

Robust Integration of Contextual Information for Cross-Target Stance Detection.

Tilman Beck, Andreas Waldis, Iryna Gurevych

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

A Question Answering Tool for Website Privacy Policy Comprehension.

Luca Mazzola, Atreya Shankar, Christof Bless, Maria A. Rodriguez, Andreas Waldis, Alexander Denzler, Michiel Van Roey

Proceedings of the HCI for Cybersecurity, Privacy and Trust, 2023

2022

Contextual information integration for stance detection via cross-attention.

Tilman Beck, Andreas Waldis, Iryna Gurevych

CoRR, 2022

Privacy and Customer's Education: NLP for Information Resources Suggestions and Expert Finder Systems.

Luca Mazzola, Andreas Waldis, Atreya Shankar, Diamantis Argyris, Alexander Denzler, Michiel Van Roey

Proceedings of the HCI for Cybersecurity, Privacy and Trust, 2022

Composing Structure-Aware Batches for Pairwise Sentence Classification.

Andreas Waldis, Tilman Beck, Iryna Gurevych

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Nested and Balanced Entity Recognition using Multi-Task Learning.

Andreas Waldis, Luca Mazzola

CoRR, 2021

Security Rules Identification and Validation: The Role of Explainable Clustering and Information Visualisation.

Luca Mazzola, Florian Stalder, Andreas Waldis, Patrick Siegfried, Christian Renold, David Reber, Philipp Meier

Proceedings of the HCI International 2021 - Posters - 23rd HCI International Conference, 2021

2020

Towards eXplainable AI in Text Features Engineering for Concept Recognition.

Andreas Waldis, Luca Mazzola, Alexander Denzler

Proceedings of the Statistical Language and Speech Processing, 2020

2018

A Domain Specific ESA Inspired Approach for Document Semantic Description.

Luca Mazzola, Patrick Siegfried, Andreas Waldis, Michael Kaufmann, Alexander Denzler

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction.

Andreas Waldis, Luca Mazzola, Michael Kaufmann

Proceedings of the Data Management Technologies and Applications, 2018

Concept Extraction with Convolutional Neural Networks.

Andreas Waldis, Luca Mazzola, Michael Kaufmann

Proceedings of the 7th International Conference on Data Science, 2018

2016

Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks.

Michael A. Kaufmann, Andreas Waldis, Patrick Siegfried, Gwendolin Wilke, Edy Portmann, Matthias L. Hemmje

Proceedings of the Knowledge Science, Engineering and Management, 2016