Andreas Waldis

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Contextual Information

Semantic Description

Convolutional Neural Networks

Keyphrase Extraction

Top Venues

Publications

Andreas Waldis, Yufang Hou, Iryna Gurevych
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. EACL (Findings) (2024)
Neele Falk, Andreas Waldis, Iryna Gurevych
Overview of PerpectiveArg2024: The First Shared Task on Perspective Argument Retrieval. CoRR (2024)
Stefan Erben, Andreas Waldis
ScamSpot: Fighting Financial Fraud in Instagram Comments. EACL (Demonstrations) (2024)
Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych
Holmes: Benchmark the Linguistic Competence of Language Models. CoRR (2024)
Stefan Erben, Andreas Waldis
ScamSpot: Fighting Financial Fraud in Instagram Comments. CoRR (2024)
Andreas Waldis, Yufang Hou, Iryna Gurevych
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. CoRR (2024)
Tilman Beck, Andreas Waldis, Iryna Gurevych
Robust Integration of Contextual Information for Cross-Target Stance Detection. *SEM@ACL (2023)
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)
Andreas Waldis, Iryna Gurevych
Bridging Topic, Domain, and Language Shifts: An Evaluation of Comprehensive Out-of-Distribution Scenarios. CoRR (2023)
Tilman Beck, Andreas Waldis, Iryna Gurevych
Contextual information integration for stance detection via cross-attention. CoRR (2022)
Andreas Waldis, Tilman Beck, Iryna Gurevych
Composing Structure-Aware Batches for Pairwise Sentence Classification. ACL (Findings) (2022)
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)
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)
Andreas Waldis, Luca Mazzola
Nested and Balanced Entity Recognition using Multi-Task Learning. CoRR (2021)
Andreas Waldis, Luca Mazzola, Alexander Denzler
Towards eXplainable AI in Text Features Engineering for Concept Recognition. SLSP (2020)
Andreas Waldis, Luca Mazzola, Michael Kaufmann
Concept Extraction with Convolutional Neural Networks. DATA (2018)
Andreas Waldis, Luca Mazzola, Michael Kaufmann
Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. DATA (Revised Selected Papers) (2018)
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)
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)