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Andreas Waldis

Concept Extraction with Convolutional Neural Networks
2018 · Andreas Waldis, Luca Mazzola, et al. · International Conference on Data Science, Technology and Applications (DATA) · 13
PrivacyGLUE: A Benchmark Dataset for General Language Understanding in Privacy Policies
2023 · Atreya Shankar, Andreas Waldis, et al. · Applied Sciences · 8
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Robust Integration of Contextual Information for Cross-Target Stance Detection
2023 · Tilman Beck, Andreas Waldis, et al. · Joint Conference on Lexical and Computational Semantics · 8
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Holmes ⌕ A Benchmark to Assess the Linguistic Competence of Language Models
2024 · Andreas Waldis, Andreas Waldis, et al. · Transactions of the Association for Computational Linguistics · 6
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets
2024 · Benjamin Schiller, Johannes Daxenberger, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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Analyzing the Evolution of Scientific Misconduct Based on the Language of Retracted Papers
2025 · Christof Bless, Andreas Waldis, et al. · Workshop on Scholarly Document Processing (SDP) · 3
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Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization
2024 · Waldis, Andreas, Hou, Yufang, et al. · arXiv (Cornell University) · 3
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Composing Structure-Aware Batches for Pairwise Sentence Classification
2022 · Andreas Waldis, Tilman Beck, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 3
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Security Rules Identification and Validation: The Role of Explainable Clustering and Information Visualisation
2021 · Luca Mazzola, Florian Stalder, et al. · Communications in computer and information science · 3
A Domain Specific ESA Method for Semantic Text Matching
2020 · Luca Mazzola, Patrick Siegfried, et al. · Studies in computational intelligence · 3
Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction
2019 · Andreas Waldis, Luca Mazzola, et al. · Communications in computer and information science · 3
Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks
2016 · Michael Kaufmann, Andreas Waldis, et al. · Lecture notes in computer science · 3
Overview of PerpectiveArg2024 The First Shared Task on Perspective Argument Retrieval
2024 · Neele Falk, Andreas Waldis, et al. · Workshop on Argument Mining (ArgMining) · 2
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A Question Answering Tool for Website Privacy Policy Comprehension
2023 · Luca Mazzola, Atreya Shankar, et al. · Lecture notes in computer science · 2
Privacy and Customer’s Education: NLP for Information Resources Suggestions and Expert Finder Systems
2022 · Luca Mazzola, Andreas Waldis, et al. · Lecture notes in computer science · 2
Nested and Balanced Entity Recognition using Multi-Task Learning
2021 · Waldis, Andreas, Mazzola, Luca · arXiv (Cornell University) · 2
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A Domain Specific ESA Inspired Approach for Document Semantic Description
2018 · Luca Mazzola, Patrick Siegfried, et al. · IEEE International Conference on Intelligent Systems · 2
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study
2024 · Andreas Waldis, Yufang Hou, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification
2024 · Andreas Waldis, Joel Birrer, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
ScamSpot: Fighting Financial Fraud in Instagram Comments
2024 · Stefan Erben, Andreas Waldis · Conference of the European Chapter of the Association for Computational Linguistics · 1
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Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization
2024 · Andreas Waldis, Yufang Hou, et al. · Findings of the Association for Computational Linguistics: EACL · 1
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Towards eXplainable AI in Text Features Engineering for Concept Recognition
2020 · Andreas Waldis, Luca Mazzola, et al. · Lecture notes in computer science · 1
Bayesian Fine-tuning Yields Language Models that are as Bayesian as their Beliefs Allow
2026 · Tsvilodub, Polina, Waldis, Andreas, et al. · arXiv (Cornell University)
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AIMO Interpretability Challenge
2026 · Štefánik, Michal, Mondorf, Philipp, et al. · arXiv (Cornell University)
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An Integral View on the Reliability of Language Models for Computational Argumentation
2026 · Waldis, Andreas · TUbilio (Technical University of Darmstadt)
Works count: 62
Citation count: 82
H-index: 5
I10-index: 1
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