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 (KSEM, 2016)

Concept Extraction with Convolutional Neural Networks. - Andreas Waldis; Luca Mazzola; Michael Kaufmann 004 (DATA, 2018)

Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. - Andreas Waldis; Luca Mazzola; Michael Kaufmann 004 (DATA (Revised Selected Papers), 2018)

A Domain Specific ESA Inspired Approach for Document Semantic Description. - Luca Mazzola; Patrick Siegfried; Andreas Waldis; Michael Kaufmann 004; Alexander Denzler (IEEE Conf. on Intelligent Systems, 2018)

Towards eXplainable AI in Text Features Engineering for Concept Recognition. - Andreas Waldis; Luca Mazzola; Alexander Denzler (SLSP, 2020)

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 (HCI (38), 2021)

Nested and Balanced Entity Recognition using Multi-Task Learning. - Andreas Waldis; Luca Mazzola (CoRR, 2021)

Composing Structure-Aware Batches for Pairwise Sentence Classification. - Andreas Waldis; Tilman Beck; Iryna Gurevych (ACL (Findings), 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 (HCI (32), 2022)

Contextual information integration for stance detection via cross-attention. - Tilman Beck; Andreas Waldis; Iryna Gurevych (CoRR, 2022)

A Question Answering Tool for Website Privacy Policy Comprehension. - Luca Mazzola; Atreya Shankar; Christof Bless; Maria A. Rodriguez 002; Andreas Waldis; Alexander Denzler; Michiel Van Roey (HCI (35), 2023)

Robust Integration of Contextual Information for Cross-Target Stance Detection. - Tilman Beck; Andreas Waldis; Iryna Gurevych (*SEM@ACL, 2023)

Bridging Topic, Domain, and Language Shifts: An Evaluation of Comprehensive Out-of-Distribution Scenarios. - Andreas Waldis; Iryna Gurevych (CoRR, 2023)

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study. - Andreas Waldis; Yufang Hou 001; Iryna Gurevych (ACL (1), 2024)

ScamSpot: Fighting Financial Fraud in Instagram Comments. - Stefan Erben; Andreas Waldis (EACL (Demonstrations), 2024)

Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. - Andreas Waldis; Yufang Hou 001; Iryna Gurevych (EACL (Findings), 2024)

Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets. - Benjamin Schiller; Johannes Daxenberger; Andreas Waldis; Iryna Gurevych (EMNLP, 2024)

The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification. - Andreas Waldis; Joel Birrer; Anne Lauscher; Iryna Gurevych (EMNLP, 2024)

Holmes: Benchmark the Linguistic Competence of Language Models. - Andreas Waldis; Yotam Perlitz; Leshem Choshen; Yufang Hou 001; Iryna Gurevych (CoRR, 2024)

Overview of PerpectiveArg2024: The First Shared Task on Perspective Argument Retrieval. - Neele Falk; Andreas Waldis; Iryna Gurevych (CoRR, 2024)

Holmes ⌕ A Benchmark to Assess the Linguistic Competence of Language Models. - Andreas Waldis; Yotam Perlitz; Leshem Choshen; Yufang Hou 001; Iryna Gurevych (Trans. Assoc. Comput. Linguistics, 2024)

Aligned Probing: Relating Toxic Behavior and Model Internals. - Andreas Waldis; Vagrant Gautam; Anne Lauscher; Dietrich Klakow; Iryna Gurevych (CoRR, 2025)