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LOTHRITZ Cedric

ORCID
0000-0002-5372-7970
Main Referenced Co-authors
KLEIN, Jacques  (12)
BISSYANDE, Tegawendé  (11)
ALLIX, Kevin  (5)
EZZINI, Saad  (4)
Goujon, Anne (4)
Main Referenced Keywords
natural language processing (3); data augmentation (2); luxembert (2); luxembourgish (2); NLP (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > TruX - Trustworthy Software Engineering (3)
Main Referenced Disciplines
Computer science (13)

Publications (total 13)

The most downloaded
705 downloads
LOTHRITZ, C., ALLIX, K., VEIBER, L., KLEIN, J., & BISSYANDE, T. F. D. A. (2020). Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition. In Proceedings of the 28th International Conference on Computational Linguistics (pp. 3750–3760). https://hdl.handle.net/10993/45217

The most cited

46 citations (OpenAlex)

ARSLAN, Y., ALLIX, K., VEIBER, L., LOTHRITZ, C., BISSYANDE, T. F. D. A., KLEIN, J., & Goujon, A. (2021). A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain. In Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia (pp. 260–268). New York, United States: Association for Computing Machinery. doi:10.1145/3442442.3451375 https://hdl.handle.net/10993/47288

TANG, X., KIM, K., SONG, Y., LOTHRITZ, C., Li, B., EZZINI, S., TIAN, H., KLEIN, J., & Tegawendé F BISSYANDE. (2024). CodeAgent: Autonomous Communicative Agents for Code Review. In T. F. D. A. BISSYANDE, CodeAgent: Autonomous Communicative Agents for Code Review (pp. 11279–11313). MIAMI, United States: Association for Computational Linguistics.
Peer reviewed

SONG, Y., LOTHRITZ, C., TANG, X., BISSYANDE, T. F. D. A., & KLEIN, J. (2024). Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 38-46. doi:10.18653/v1/2024.acl-short.3
Peer reviewed

SONG, Y., EZZINI, S., TANG, X., LOTHRITZ, C., KLEIN, J., BISSYANDE, T. F. D. A., BOYTSOV, A., BLE, U., & GOUJON, A. (2024). Enhancing Text-to-SQL Translation for Financial System Design. In ICSE-SEIP '24: Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice (pp. 11). New York, United States: Institute of Electrical and Electronics Engineers Inc. doi:10.1145/3639477.3639732
Peer reviewed

PHILIPPY, F., Guo, S., Haddadan, S., LOTHRITZ, C., KLEIN, J., & BISSYANDE, T. F. D. A. (2024). Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More. In R. Vazquez (Ed.), MOOMIN 2024 - Workshop on Modular and Open Multilingual NLP, Proceedings of the Workshop (pp. 7-15). Association for Computational Linguistics (ACL).
Peer reviewed

LOTHRITZ, C., EZZINI, S., PURSCHKE, C., BISSYANDE, T. F. D. A., KLEIN, J., Olariu, I., Boytsov, A., Lefebvre, C., & Goujon, A. (2023). Comparing Pre-Training Schemes for Luxembourgish BERT Models. In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023).
Peer reviewed

LOTHRITZ, C., LEBICHOT, B., ALLIX, K., EZZINI, S., BISSYANDE, T. F. D. A., KLEIN, J., Boytsov, A., Lefebvre, C., & Goujon, A. (2023). Evaluating the Impact of Text De-Identification on Downstream NLP Tasks. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). Tartu, Estonia: University of Tartu Library.
Peer reviewed

LOTHRITZ, C. (2023). NLP De Luxe - Challenges for Natural Language Processing in Luxembourg [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54910

OLARIU, I., LOTHRITZ, C., KLEIN, J., BISSYANDE, T. F. D. A., Guo, S., & Haddadan, S. (2023). Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain. In Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
Peer reviewed

OLARIU, I., LOTHRITZ, C., BISSYANDE, T. F. D. A., & KLEIN, J. (2023). Evaluating Data Augmentation Techniques for the Training of Luxembourgish Language Models. In Conference on Natural Language Processing. KONVENS.
Peer reviewed

LOTHRITZ, C., LEBICHOT, B., ALLIX, K., VEIBER, L., BISSYANDE, T. F. D. A., KLEIN, J., Boytsov, A., Goujon, A., & Lefebvre, C. (2022). LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish. In Proceedings of the Language Resources and Evaluation Conference, 2022 (pp. 5080-5089).
Peer reviewed

LOTHRITZ, C., ALLIX, K., LEBICHOT, B., VEIBER, L., BISSYANDE, T. F. D. A., & KLEIN, J. (2021). Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling. In 26th International Conference on Applications of Natural Language to Information Systems (pp. 367-375). Springer. doi:10.1007/978-3-030-80599-9_32
Peer reviewed

ARSLAN, Y., ALLIX, K., VEIBER, L., LOTHRITZ, C., BISSYANDE, T. F. D. A., KLEIN, J., & Goujon, A. (2021). A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain. In Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia (pp. 260–268). New York, United States: Association for Computing Machinery. doi:10.1145/3442442.3451375
Peer reviewed

LOTHRITZ, C., ALLIX, K., VEIBER, L., KLEIN, J., & BISSYANDE, T. F. D. A. (2020). Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition. In Proceedings of the 28th International Conference on Computational Linguistics (pp. 3750–3760).
Peer reviewed

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