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Publications

Displaying results 701 to 710 of 14796.

  1. Fabian Schmeisser; Andreas Dengel; Sheraz Ahmed

    Point-Based Weakly Supervised 2.5D Cell Segmentation

    In: Michael Wand; Kristina Malinovska; Jürgen Schmidhuber; Igor V. Tetko (Hrsg.). 33rd International Conference on Artificial Neural Networks Lugano, Switzerland, September 17–20, 2024 Proceedings, Part VIII. International Conference on Artificial Neural Networks (ICANN-2024), Springer, 2024.

  2. Anna Kravets; Veronika Kurchyna; Jan Ole Berndt; Ingo J. Timm

    Digital Twins for Decision Support: An example of Regional Transforming Steel Industries

    In: Advances in Social Simulation - Proceedings of the 19th Social Simulation Conference. Social Simulation Conference (SSC-24), 19th, September 16-20, Krakow, Poland, Springer, 2025.

  3. Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann; Sebastian Möller

    CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems

    In: Yaser Al-Onaizan; Mohit Bansal; Yun-Nung (Vivian) Chen (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2024. Conference on Empirical Methods in Natural Language Processing (EMNLP-2024), November 11-16, Miami, Florida, USA, Association for Computational Linguistics, 2024.

  4. Yasser Hamidullah; Josef van Genabith; Cristina España-Bonet

    Sign Language Translation with Sentence Embedding Supervision

    In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-2024), Bangkok, Thailand, Thailand, Pages 425-434, Association for Computational Linguistics, 2024.

  5. Krzysztof Wolski; Adarsh Djeacoumar; Alireza Javanmardi; Hans-Peter Seidel; Christian Theobalt; Guillaume Cordonnier; Karol Myszkowski; George Drettakis; Xingang Pan; Thomas Leimkühler

    Learning Images Across Scales Using Adversarial Training

    In: ACM Transactions on Graphics (TOG), Vol. 43, Pages 1-13, Association for Computing Machinery (ACM), 2024.

  6. Aleksandra Gabryszak; Daniel Röder; Arne Björn Binder; Luca Sion; Leonhard Hennig

    Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models

    In: Proceedings of the 17th International Natural Language Generation Conference. International Natural Language Generation Conference (INLG-2024), Tokyo, Japan, Association for Computational Linguistics, 2024.

  7. Mohammed Bin Sumait; Aleksandra Gabryszak; Leonhard Hennig; Roland Roller

    Factuality Detection using Machine Translation -- a Use Case for German Clinical Text

    In: Munir Georges; Aaricia Herygers; Annemarie Friedrich; Benjamin Roth (Hrsg.). Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023). Conference on Natural Language Processing (KONVENS-2023), September 18-22, Ingolstadt, Germany, Pages 85-92, Association for Computational Lingustics, 2023.

  8. Brian Pickering; Roland Roller; Holmer Hemsen; Gerrit J. Noordergraaf; Igor Paulussen; Alyssa Venema

    Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment

    Now Publishers, Inc. 2024.

  9. Lisa Raithel; Hui-Syuan Yeh; Shuntaro Yada; Cyril Grouin; Thomas Lavergne; Aurélie Névéol; Patrick Paroubek; Philippe Thomas; Tomohiro Nishiyama; Sebastian Möller; Eiji Aramaki; Yuji Matsumoto; Roland Roller; Pierre Zweigenbaum

    A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages

    In: Nicoletta Calzolari; Min-Yen Kan; Veronique Hoste; Alessandro Lenci; Sakriani Sakti; Nianwen Xue (Hrsg.). Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING-2024), May 20-25, Torino, Italy, Pages 395-414, ELRA and ICCL, 2024.

  10. Dongfang Xu; Guillermo Garcia; Lisa Raithel; Philippe Thomas; Roland Roller; Eiji Aramaki; Shoko Wakamiya; Shuntaro Yada; Pierre Zweigenbaum; Karen O'Connor; Sai Samineni; Sophia Hernandez; Yao Ge; Swati Rajwal; Sudeshna Das; Abeed Sarker; Ari Klein; Ana Schmidt; Vishakha Sharma; Raul Rodriguez-Esteban; Juan Banda; Ivan Amaro; Davy Weissenbacher; Graciela Gonzalez-Hernandez

    Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 -- Large Language Models and Generalizability for Social Media NLP

    In: Dongfang Xu; Graciela Gonzalez-Hernandez (Hrsg.). Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks. Social Media Mining for Health Research and Applications Workshop (SMM4H-2024), located at ACL 2024, August 15, Bangkok, Thailand, Pages 183-195, Association for Computational Linguistics, 2024.

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