Follow
Lisa Raithel
Lisa Raithel
DFKI Berlin, LISN Orsay, TU Berlin, Université Paris-Saclay
Verified email at dfki.de - Homepage
Title
Cited by
Cited by
Year
Overview of the 9th social media mining for health applications (# SMM4H) shared tasks at ACL 2024
D Xu, GL Garcia, L Raithel, R Roller, P Thomas, E Aramaki, S Yada, ...
Proceedings of The 9th Social Media Mining for Health Research and …, 2024
202024
Neural vector conceptualization for word vector space interpretation
R Schwarzenberg, L Raithel, D Harbecke
Proceedings of the 3rd Workshop on Evaluating Vector Space Representations …, 2019
162019
Ntcir-17 mednlp-sc social media adverse drug event detection: Subtask overview
S Wakamiya, LK Pereira, L Raithel, HS Yeh, P Han, S Shimizu, ...
Proceedings of the 17th NTCIR Conference on Evaluation of Information Access …, 2023
112023
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
L Raithel, P Thomas, R Roller, O Sapina, S Möller, P Zweigenbaum
Proceedings of the Language Resources and Evaluation Conference, 3637-3649, 2022
62022
Embedded implicature in a new interactive paradigm
A Benz, N Gotzner, L Raithel
ZAS Papers in Linguistics 60, 205-221, 2018
62018
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
L Raithel, HS Yeh, S Yada, C Grouin, T Lavergne, A Névéol, P Paroubek, ...
arXiv preprint arXiv:2403.18336, 2024
32024
Boosting Transformers using Background Knowledge, or how to detect Drug Mentions in Social Media using Limited Data
R Roller, A Ayach, L Raithel
Proceedings of the BioCreative VII Challenge Evaluation Workshop, 2021
32021
Overview of# SMM4H 2024–Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese
L Raithel, P Thomas, B Verma, R Roller, HS Yeh, S Yada, C Grouin, ...
Proceedings of The 9th Social Media Mining for Health Research and …, 2024
12024
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training
B Verma, L Raithel
arXiv preprint arXiv:2405.00321, 2024
12024
KEEPHA at n2c2 2022: Track 1
L Raithel, FW Mutinda, GHB Andrade, HS Yeh, T Nishiyama, M Laï-King, ...
2022 n2c2 Shared Task and Workshop at AMIA Fall Symposium, 2022
12022
Cross-lingual Neural Vector Conceptualization
L Raithel, R Schwarzenberg
Natural Language Processing and Chinese Computing: 8th CCF International …, 2019
12019
Pragmatic query answering: results from a quantitative evaluation
JS Stevens, A Benz, S Reuße, R Klabunde, L Raithel
Natural Language Processing and Information Systems: 20th International …, 2015
12015
Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text
S Shimizu, S Yada, L Raithel, E Aramaki
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 1-13, 2024
2024
Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates
D MacPhail, D Harbecke, L Raithel, S Möller
arXiv preprint arXiv:2407.02432, 2024
2024
Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain
T Nishiyama, L Raithel, R Roller, P Zweigenbaum, E Aramaki
Workshop on Computational Approaches to Language Data Pseudonymization (CALD …, 2024
2024
Cross-lingual Information Extraction for the Assessment and Prevention of Adverse Drug Reactions
L Raithel
Université Paris-Saclay; Technische Universität (Berlin), 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–16