Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning. - Angelo Ziletti; Christoph Berns; Oliver Treichel; Thomas Weber; Jennifer Liang; Stephanie Kammerath; Marion Schwaerzler; Jagatheswari Virayah; David Ruau; Xin Ma; Andreas Mattern (CoRR, 2020)

Biomedical Data-to-Text Generation via Fine-Tuning Transformers. - Ruslan Yermakov; Nicholas Drago; Angelo Ziletti (INLG, 2021)

Discovering Key Topics From Short, Real-World Medical Inquiries via Natural Language Processing. - Angelo Ziletti; Christoph Berns; Oliver Treichel; Thomas Weber; Jennifer Liang; Stephanie Kammerath; Marion Schwaerzler; Jagatheswari Virayah; David Ruau; Xin Ma; Andreas Mattern (Frontiers Comput. Sci., 2021)

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning. - Angelo Ziletti; Alan Akbik; Christoph Berns; Thomas Herold; Marion Legler; Martina Viell (NAACL-HLT (Industry Papers), 2022)

Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records. - Angelo Ziletti; Leonardo D'Ambrosi (ClinicalNLP@NAACL, 2024)

Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs. - Daniel Steinigen; Roman Teucher; Timm Heine Ruland; Max Rudat; Nicolas Flores-Herr; Peter Fischer; Nikola Milosevic; Christopher Schymura; Angelo Ziletti (CoRR, 2024)

Generating patient cohorts from electronic health records using two-step retrieval-augmented text-to-SQL generation. - Angelo Ziletti; Leonardo D'Ambrosi (CoRR, 2025)