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Andreas Waldis
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2020 – today
- 2024
- [c12]Stefan Erben, Andreas Waldis:
ScamSpot: Fighting Financial Fraud in Instagram Comments. EACL (Demonstrations) 2024: 71-81 - [c11]Andreas Waldis, Yufang Hou, Iryna Gurevych:
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. EACL (Findings) 2024: 2197-2214 - [i6]Andreas Waldis, Yufang Hou, Iryna Gurevych:
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. CoRR abs/2402.01375 (2024) - [i5]Stefan Erben, Andreas Waldis:
ScamSpot: Fighting Financial Fraud in Instagram Comments. CoRR abs/2402.08869 (2024) - [i4]Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych:
Holmes: Benchmark the Linguistic Competence of Language Models. CoRR abs/2404.18923 (2024) - 2023
- [c10]Luca Mazzola, Atreya Shankar, Christof Bless, Maria A. Rodriguez, Andreas Waldis, Alexander Denzler, Michiel Van Roey:
A Question Answering Tool for Website Privacy Policy Comprehension. HCI (35) 2023: 194-212 - [c9]Tilman Beck, Andreas Waldis, Iryna Gurevych:
Robust Integration of Contextual Information for Cross-Target Stance Detection. *SEM@ACL 2023: 494-511 - [i3]Andreas Waldis, Iryna Gurevych:
Bridging Topic, Domain, and Language Shifts: An Evaluation of Comprehensive Out-of-Distribution Scenarios. CoRR abs/2309.08316 (2023) - 2022
- [c8]Andreas Waldis, Tilman Beck, Iryna Gurevych:
Composing Structure-Aware Batches for Pairwise Sentence Classification. ACL (Findings) 2022: 3031-3045 - [c7]Luca Mazzola, Andreas Waldis, Atreya Shankar, Diamantis Argyris, Alexander Denzler, Michiel Van Roey:
Privacy and Customer's Education: NLP for Information Resources Suggestions and Expert Finder Systems. HCI (32) 2022: 62-77 - [i2]Tilman Beck, Andreas Waldis, Iryna Gurevych:
Contextual information integration for stance detection via cross-attention. CoRR abs/2211.01874 (2022) - 2021
- [c6]Luca Mazzola, Florian Stalder, Andreas Waldis, Patrick Siegfried, Christian Renold, David Reber, Philipp Meier:
Security Rules Identification and Validation: The Role of Explainable Clustering and Information Visualisation. HCI (38) 2021: 431-438 - [i1]Andreas Waldis, Luca Mazzola:
Nested and Balanced Entity Recognition using Multi-Task Learning. CoRR abs/2106.06216 (2021) - 2020
- [c5]Andreas Waldis, Luca Mazzola, Alexander Denzler:
Towards eXplainable AI in Text Features Engineering for Concept Recognition. SLSP 2020: 122-133
2010 – 2019
- 2018
- [c4]Andreas Waldis, Luca Mazzola, Michael Kaufmann:
Concept Extraction with Convolutional Neural Networks. DATA 2018: 118-129 - [c3]Andreas Waldis, Luca Mazzola, Michael Kaufmann:
Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. DATA (Revised Selected Papers) 2018: 160-188 - [c2]Luca Mazzola, Patrick Siegfried, Andreas Waldis, Michael Kaufmann, Alexander Denzler:
A Domain Specific ESA Inspired Approach for Document Semantic Description. IEEE Conf. on Intelligent Systems 2018: 383-390 - 2016
- [c1]Michael A. Kaufmann, Andreas Waldis, Patrick Siegfried, Gwendolin Wilke, Edy Portmann, Matthias L. Hemmje:
Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks. KSEM 2016: 337-348
Coauthor Index
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last updated on 2024-05-28 23:17 CEST by the dblp team
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