StarwarsNER French Italian Corpus - sample 2.0

Frontini, Francesca

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Frontini, Francesca; et al., 2026, StarwarsNER French Italian Corpus - sample 2.0, ILC-CNR for CLARIN-IT repository hosted at Institute for Computational Linguistics "A. Zampolli", http://hdl.handle.net/20.500.11752/ILC-2180

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dc.contributor.author	Frontini, Francesca
dc.contributor.author	Chahinian, Nanée
dc.contributor.author	Aelami, Mitra
dc.contributor.author	Cardillo, Franco Alberto
dc.contributor.author	Conard, Serge
dc.contributor.author	Debole, Franca
dc.date.accessioned	2026-05-21T13:09:23Z
dc.date.available	2025-10-17T18:39:28Z
dc.date.available	2026-05-21T13:09:23Z
dc.date.issued	2026-05-19
dc.description	The StarwarsNER French Italian Corpus - sample is a multilingual benchmark resource for Named Entity Recognition (NER) in the wastewater and stormwater management domain. With respect to StarwarsNER French Italian Corpus - sample 1.0, this new version adds English translations of the annotation guidelines and the plain texts, so that people who do not speak Italian or French can better understand and potentially replicate the experiment. 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 (and English) 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, in French, with translations in Italian and English (the latter for reference only). - Annotations: Provided in CONLL 2003 format, as exported from INCEpTION, for the French and Italian texts. - Annotation guidelines: Included in French, with translations in English and Italian, as used by annotators.
dc.identifier.uri	http://hdl.handle.net/20.500.11752/ILC-2180
dc.language.iso	ita
dc.language.iso	fra
dc.publisher	Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
dc.publisher	Institute of Information Science and Technologies "Alessandro Faedo" - National Research Council of Italy (ISTI CNR)
dc.publisher	Institut de Recherche pour le Développement
dc.publisher	Université de Montpellier
dc.relation.isreferencedby	https://doi.org/10.1109/CiSt65886.2025.11224095
dc.relation.isreplacedby	http://hdl.handle.net/20.500.11752/ILC-2169
dc.relation.replaces	http://hdl.handle.net/20.500.11752/ILC-1052
dc.rights	Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.label	PUB
dc.rights.uri	https://creativecommons.org/licenses/by/4.0
dc.source.uri	https://sites.google.com/view/horizoneurope2020-starwars/
dc.subject	Named Entity Recognition
dc.subject	Sewer Network
dc.title	StarwarsNER French Italian Corpus - sample 2.0
dc.type	corpus
local.branding	ILC
local.contact.person	Francesca Frontini francesca.frontini@cnr.it Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
local.files.count	1
local.files.size	845192
local.has.files	yes
local.language.name	Italian
local.language.name	French
local.size.info	8 files
local.sponsor	Other euFunds 10108625 European Union's Horizon research and innovation program STARWARS (STormwAteR and Wastew- AteR networkS heterogeneous data AI-driven management)
metashare.ResourceInfo#ContentInfo.mediaType	text