no code implementations • EMNLP (WNUT) 2020 • Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert
A particularly striking example is the performance of AraBERT, an LM for the Arabic language, which is successful in categorizing social media posts in Arabic dialects, despite only having been trained on Modern Standard Arabic.
1 code implementation • COLING 2022 • Israa Alghanmi, Luis Espinosa-Anke, Steven Schockaert
Interpreting patient case descriptions has emerged as a challenging problem for biomedical NLP, where the aim is typically to predict diagnoses, to recommended treatments, or to answer questions about cases more generally.
1 code implementation • Findings (ACL) 2021 • Israa Alghanmi, Luis Espinosa-Anke, Steven Schockaert
Pre-trained language models such as ClinicalBERT have achieved impressive results on tasks such as medical Natural Language Inference.