StarwarsNER French Italian Corpus - sample

The StarwarsNER French Italian Corpus - sample is a multilingual benchmark resource for Named Entity Recognition (NER) in the wastewater and stormwater management domain. It supports research in: - Information extraction - Relation extraction - Entity linking The corpus consists of manually annotated parallel French and Italian documents, aligned at the sentence level. Annotations follow a domain-specific schema based on the Sewer Network Ontology <http://hdl.handle.net/20.500.11752/ILC-1037>. For copyright reasons, this release contains only a sample of the original corpus, namely 8 French documents from public administrations and their Italian translations. --- ## Resource Creation 1. **French corpus** - Collected from reports, regulations, and local media texts. - Manually annotated according to the STARWARS schema. 2. **Italian corpus** - Produced via machine translation of the French texts. - Reviewed and corrected by bilingual translation students and expert hydrologists. 3. **Annotation process** - Conducted with the **INCEpTION** annotation platform. - Ensured consistent alignment between French and Italian. For details, please refer to the publication: F.A. Cardillo, F. Debole, F. Frontini, M. Aelami, N. Chahinian, S. Conrad (2025) “Novel Benchmark for NER in the Wastewater and Stormwater Domain”, Proceedings of the 6th IEEE MNLP Conf. (CiST-MNLP’2025) 4-10 October 2025, Marrakech, Morocco. <https://arxiv.org/abs/2506.01938> --- ## Contents of this Package - **Texts**: Provided in plain text. - **Annotations**: Provided in **CONLL 2003 format, as exported from INCEpTION**. - **Annotation guidelines**: Included in both **French** and **Italian**, as used by annotators.