no code implementations • 15 Mar 2024 • Aswathy Velutharambath, Amelie Wührl, Roman Klinger
As the argumentation stems from genuine belief, it may be unlikely to exhibit the linguistic properties associated with deception or lying.
no code implementations • 19 Feb 2024 • Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
Distorted science communication harms individuals and society as it can lead to unhealthy behavior change and decrease trust in scientific institutions.
no code implementations • 2 Feb 2024 • Amelie Wührl, Yarik Menchaca Resendiz, Lara Grimminger, Roman Klinger
In a study with trained annotation experts we prompt them to find evidence for biomedical claims, and observe how they refine search queries for their evidence search.
no code implementations • 11 Apr 2023 • Amelie Wührl, Lara Grimminger, Roman Klinger
This mismatch can be mitigated by adapting the social media input to mimic the focused nature of common training claims.
no code implementations • ArgMining (ACL) 2022 • Amelie Wührl, Roman Klinger
To make user-generated content checkable by existing models, we propose to reformulate the social-media input in such a way that the resulting claim mimics the claim characteristics in established datasets.
no code implementations • LREC 2022 • Isabelle Mohr, Amelie Wührl, Roman Klinger
The corpus consists of 300 tweets, each annotated with medical named entities and relations.
no code implementations • LREC 2022 • Amelie Wührl, Roman Klinger
Named entity recognition and relation extraction are methods to structure information that is available in unstructured text.
no code implementations • NAACL (BioNLP) 2021 • Amelie Wührl, Roman Klinger
We aim to fill this research gap and annotate a corpus of 1200 tweets for implicit and explicit biomedical claims (the latter also with span annotations for the claim phrase).