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Frontini, Francesca; et al., 2025, StarwarsNER French Italian Corpus - sample, ILC-CNR for CLARIN-IT repository hosted at Institute for Computational Linguistics "A. Zampolli", http://hdl.handle.net/20.500.11752/ILC-1052
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dc.contributor.authorFrontini, Francesca
dc.contributor.authorChahinian, Nanée
dc.contributor.authorAelami, Mitra
dc.contributor.authorCardillo, Franco Alberto
dc.contributor.authorConard, Serge
dc.contributor.authorDebole, Franca
dc.date.accessioned2025-10-17T18:39:28Z
dc.date.available2025-10-17T18:39:28Z
dc.date.issued2025-10-07
dc.descriptionThe 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11752/ILC-1052
dc.language.isoita
dc.language.isofra
dc.publisherIstituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
dc.publisherInstitute of Information Science and Technologies "Alessandro Faedo" - National Research Council of Italy (ISTI CNR)
dc.publisherInstitut de Recherche pour le Développement
dc.publisherUniversité de Montpellier
dc.relation.isreferencedbyhttps://arxiv.org/abs/2506.01938
dc.rightsCreative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.labelPUB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.source.urihttps://sites.google.com/view/horizoneurope2020-starwars/
dc.subjectNamed Entity Recognition
dc.subjectSewer Network
dc.titleStarwarsNER French Italian Corpus - sample
dc.typecorpus
local.brandingILC
local.contact.personFrancesca Frontini francesca.frontini@cnr.it Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
local.files.count1
local.files.size0
local.has.filesyes
local.language.nameItalian
local.language.nameFrench
local.size.info8 files
local.sponsoreuFunds 10108625 European Union's Horizon research and innovation program STARWARS (STormwAteR and Wastew- AteR networkS heterogeneous data AI-driven management)
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