Amelie Wührl

According to our database1, Amelie Wührl authored at least 14 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit.
CoRR, February, 2026

A Human-Centric Framework for Data Attribution in Large Language Models.
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE.
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025
Which Demographics do LLMs Default to During Annotation?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Self-Adaptive Paraphrasing and Preference Learning for Improved Claim Verifiability.
CoRR, 2024

How Entangled is Factuality and Deception in German?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Can Factual Statements Be Deceptive? The DeFaBel Corpus of Belief-based Deception.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Understanding Fine-grained Distortions in Reports of Scientific Findings.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking.
CoRR, 2023

2022
Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR).
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets.
Proceedings of the 9th Workshop on Argument Mining, 2022

2021
Claim Detection in Biomedical Twitter Posts.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021


  Loading...