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CORDIS - Resultados de investigaciones de la UE
CORDIS

Sorbonne University for a New Deal on Artificial Intelligence

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Call 1 Report on dissemination activities (se abrirá en una nueva ventana)

Report on dissemination activities containing DatesInterval of call publication and dissemination channelsmeans supporting documents are required as images screen shots photos from events Flyers brochures or other information produced for dissemination of the call Presentations held at conferences andor meetings andor other events Articles published in the press please list and attach only main articles Any other means for advertising the programme

Call 2 Report on dissemination activities (se abrirá en una nueva ventana)

Report on dissemination activities containing- Dates/Interval of call publication and dissemination channels/means (supporting documents are required as images, screen shots, photos from events)- Flyers, brochures, or other information produced for dissemination of the call- Presentations held at conferences and/or meetings and/or other events- Articles published in the press (please list and attach only main articles)- Any other means for advertising the programme

Call 1 Link to Euraxess website (se abrirá en una nueva ventana)

Inform the Project Officer on publishing each call for proposals by sending the link to the Euraxess website and a screen shot of the related call announcement

Call 2 Link to Euraxess website (se abrirá en una nueva ventana)

Inform the Project Officer on publishing each call for proposals by sending the link to the Euraxess website and a screen shot of the related call announcement

Publicaciones

FloraNER: A new dataset for species and morphological terms named entity recognition in French botanical text (se abrirá en una nueva ventana)

Autores: Ayoub Nainia, Régine Vignes-Lebbe, Eric Chenin, Maya Sahraoui, Hajar Mousannif, Jihad Zahir
Publicado en: Data in Brief, Edición 56, 2024, ISSN 2352-3409
Editor: Elsevier BV
DOI: 10.1016/J.DIB.2024.110824

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