Julian Moreno-Schneider

2 papers on this site · 2026

Julian Moreno-Schneider has 2 papers on this site, in 2026, most of them on Information extraction, Legal AI; often with Georg Rehm.

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Topics

The most cited first (OpenAlex and our library).

A Novel Synthetic Dataset for Few-Shot Legal Relation Extraction in German (2026)
Relation extraction (RE) in German legal texts is hard to develop for three reasons. Annotated corpora are scarce. Privacy rules such as GDPR block the sharing of real case material. Regulations like the EU AI Act constrain the use of large hosted LLMs. To address this, the authors build a synthetic…
Scientific Article Section Classification (SASC) Dataset (2026)
Finding sections in scientific papers by their semantic role (methods, results, and so on) is useful for section-targeted search, focused NLP processing, and building knowledge graphs.

1 co-author with a page, the most papers together first.