Hui-Syuan Yeh

Orcid: 0009-0003-5759-9237

According to our database1, Hui-Syuan Yeh authored at least 10 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Challenges in Multilingual Adverse Drug Reaction Detection on Social Media: Insights from Case Studies.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2024
Prompt-based Relation Extraction for Pharmacovigilance. (Extraction de relations basée sur des prompts pour la pharmacovigilance).
PhD thesis, 2024

A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

2022
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Logic-Guided Message Generation from Raw Real-Time Sensor Data.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Logic-Guided Neural Utterance Generation from Drone Sensory Data (Extended Abstract).
Proceedings of the 34th International Workshop on Description Logics (DL 2021) part of Bratislava Knowledge September (BAKS 2021), 2021

On Training Instance Selection for Few-Shot Neural Text Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Time-Aware Ancient Chinese Text Translation and Inference.
Proceedings of The 2nd International Workshop on Computational Approaches to Historical Language Change 2021, 2021


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