OLAC Record
oai:dspace-clarin-it.ilc.cnr.it:000-c0-111/1052

Metadata
Title:StarwarsNER French Italian Corpus - sample
Bibliographic Citation:http://hdl.handle.net/20.500.11752/ILC-1052
Creator:Frontini, Francesca
Chahinian, Nanée
Aelami, Mitra
Cardillo, Franco Alberto
Conard, Serge
Debole, Franca
Date (W3CDTF):2025-10-17T18:39:28Z
Date Available:2025-10-17T18:39:28Z
Description: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.
Identifier (URI):http://hdl.handle.net/20.500.11752/ILC-1052
Language:Italian
French
Language (ISO639):ita
fra
Publisher:Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
Institute of Information Science and Technologies "Alessandro Faedo" - National Research Council of Italy (ISTI CNR)
Institut de Recherche pour le Développement
Université de Montpellier
Rights:Creative Commons - Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0
Subject:Named Entity Recognition
Sewer Network
Type:corpus
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  ILC-CNR for CLARIN-IT repository hosted at Institute for Computational Linguistics "A. Zampolli", National Research Council, in Pisa
Description:  http://www.language-archives.org/archive/dspace-clarin-it.ilc.cnr.it
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:dspace-clarin-it.ilc.cnr.it:000-c0-111/1052
DateStamp:  2025-10-17
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Frontini, Francesca; Chahinian, Nanée; Aelami, Mitra; Cardillo, Franco Alberto; Conard, Serge; Debole, Franca. 2025. Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR).
Terms: area_Europe country_FR country_IT dcmi_Text iso639_fra iso639_ita olac_primary_text


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Up-to-date as of: Sat Oct 18 1:21:57 EDT 2025