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description Publicationkeyboard_double_arrow_right Other literature type , Conference object , Research , Preprint , Article 2023 France, Netherlands, United Kingdom, France, FrancePublisher:Ubiquity Press, Ltd. Funded by:EC | BY-COVID, EC | EOSC-Life, EC | ISIDOReEC| BY-COVID ,EC| EOSC-Life ,EC| ISIDOReDavid, Romain; Richard, Audrey S.; Connellan, Claire; Lauer, Katharina B.; Chiusano, Maria Luisa; Goble, Carole; Houde, Martin; Kemmer, Isabel; Keppler, Antje; Lieutaud, Philippe; Ohmann, Christian; Panagiotopoulou, Maria; Raza Khan, Sara; Rybina, Arina; Soiland-Reyes, Stian; Wit, Charlotte; Wittner, Rudolf; Andrade Buono, Rafael; Marsh, Sarah Arnaud; Audergon, Pauline; Bonfils, Dylan; Carazo, Jose-Maria; Charrel, Remi; Coppens, Frederik; Fecke, Wolfgang; Filippone, Claudia; Garcia Alvarez, Eva; Gul, Sheraz; Hermjakob, Henning; Herzog, Katja; Holub, Petr; Kozera, Lukasz; Lister, Allyson L.; López-Coronado, José; Madon, Bénédicte; Majcen, Kurt; Martin, William; Müller, Wolfgang; Papadopoulou, Elli; Prat, Christine M.A.; Romano, Paolo; Sansone, Susanna-Assunta; Saunders, Gary; Blomberg, Niklas; Ewbank, Jonathan;THIS PAPER IS NOW PUBLISHED: https://doi.org/10.5334/dsj-2023-035 The Horizon Europe project ISIDORe is dedicated to pandemic preparedness and responsiveness research. It brings together 17 Research Infrastructures (RIs) and networks to provide a broad range of services to infectious disease researchers. An efficient and structured treatment of data is central to ISIDORe’s aim to furnish seamless access to its multidisciplinary catalogue of services, and to ensure that users’ results are treated FAIRly. ISIDORe therefore requires a data management plan (DMP) covering both access management and research outputs, applicable over a broad range of disciplines, and compatible with the constraints and existing practices of its diverse partners. We undertook an iterative, step-by-step, process to build a community-approved living document, identifying good practices and processes, on the basis of use cases, presented as proof of concepts. International fora such as the RDA and EOSC, and primarily the BY-COVID project, furnished registries, tools and online data platforms, as well as standards, and the support of data scientists. Together, these elements provide a path for building an umbrella, FAIR-compliant DMP, aligned as fully as possible with FAIR principles, which could also be applied as a framework for data management harmonisation in other large-scale, challenge-driven projects. Finally, we discuss how data management and reuse can be further improved through the writing of realistic DMPs using 'DMP profiles' and, in the future, the contribution of an inter RIs data steward network, to produce a Community of Practice that could be integrated into planned trans-RI competence centres. Preprint added on zenodo with the autorisation of DSJ Editor
Oxford University Re... arrow_drop_down Oxford University Research ArchiveOther literature type . 2023License: CC BYData sources: Oxford University Research ArchiveZENODO; The University of Manchester - Institutional RepositoryArticle . Preprint . 2023License: CC BYHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04210490/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 595visibility views 595 download downloads 447 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research ArchiveOther literature type . 2023License: CC BYData sources: Oxford University Research ArchiveZENODO; The University of Manchester - Institutional RepositoryArticle . Preprint . 2023License: CC BYHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04210490/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5334/dsj-2023-035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2023Publisher:EDP Sciences Funded by:EC | comfortAEC| comfortAAuthors: Vellei, Marika; de Dear, Richard; Le Dreau, Jérôme; Nicolle, Jérôme;Vellei, Marika; de Dear, Richard; Le Dreau, Jérôme; Nicolle, Jérôme;A better understanding of the psycho-physiological mechanisms driving human thermal perception during dynamic conditions is important to improve physiological-based thermal comfort models. During thermal transients, the two phenomena of thermal overshoot and thermal alliesthesia concurrently affect thermal comfort. However, they have to date been analysed separately. In this paper, we report the results of an experiment exploring the subjective responses of 16 males and 48 females to four different whole-body warm and cool step-change transients at different times of day (morning/afternoon) and in distinct seasons (summer/autumn). We found that time of day and season both significantly affect the relationship between thermal comfort and thermal sensation. This relationship was then used to predict the thermal comfort overshoot which was compared to the actual comfort vote during the step-change transients. This allowed us to separate the contribution to thermal comfort due to thermal overshoot from that attributed to thermal alliesthesia. We could show that, during the step-change transients, positive alliesthesia increases the level of thermal comfort proportionally to the perceived corrective potential of the whole-body discomfort, and this effect gets stronger as we move away from thermal neutrality.
E3S Web of Conferenc... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BYFull-Text: https://hal.science/hal-04195093/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1051/e3sconf/202339601003&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert E3S Web of Conferenc... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BYFull-Text: https://hal.science/hal-04195093/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1051/e3sconf/202339601003&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article , Preprint 2022 ItalyPublisher:IEEE Funded by:EC | 321EC| 321Davide, Consoli; Clement, Henry; Alexandre, Dely; Lyes, Rahmouni; John Erick, Ortiz Guzman; Tiffany L. , Chhim; Simon B. , Adrian; Adrien, Merlini; Francesco P. , Andriulli;International audience; This work presents a fast direct solver strategy for electromagnetic integral equations in the high-frequency regime. The new scheme relies on a suitably preconditioned combined field formulation and results in a single skeleton form plus identity equation. This is obtained after a regularization of the elliptic spectrum through the extraction of a suitably chosen equivalent circulant problem. The inverse of the system matrix is then obtained by leveraging the Woodbury matrix identity, the low-rank representation of the extracted part of the operator, and fast circulant algebra yielding a scheme with a favorable complexity and suitable for the solution of multiple right-hand sides. Theoretical considerations are accompanied by numerical results both of which are confirming and showing the practical relevance of the newly developed scheme.
Publications Open Re... arrow_drop_down Publications Open Repository TOrinoConference object . 2022Data sources: Publications Open Repository TOrinoPublications Open Repository TOrinoConference object . 2022Data sources: Publications Open Repository TOrinoMémoires en Sciences de l'Information et de la CommunicationConference object . 2022Full-Text: https://hal.science/hal-03762873/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iceaa49419.2022.9899870&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Publications Open Re... arrow_drop_down Publications Open Repository TOrinoConference object . 2022Data sources: Publications Open Repository TOrinoPublications Open Repository TOrinoConference object . 2022Data sources: Publications Open Repository TOrinoMémoires en Sciences de l'Information et de la CommunicationConference object . 2022Full-Text: https://hal.science/hal-03762873/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iceaa49419.2022.9899870&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2022 SwitzerlandPublisher:Springer International Publishing Funded by:EC | NewsEyeEC| NewsEyeAuthors: Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine; Clematide, Simon;Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine; Clematide, Simon;International audience; We present the HIPE-2022 shared task on named entity processing in multilingual historical documents. Following the success of the first CLEF-HIPE-2020 evaluation lab, this edition confronts systems with the challenges of dealing with more languages, learning domain-specific entities, and adapting to diverse annotation tag sets. HIPE-2022 is part of the ongoing efforts of the natural language processing and digital humanities communities to adapt and develop appropriate technologies to efficiently retrieve and explore information from historical texts. On such material, however, named entity processing techniques face the challenges of domain heterogeneity, input noisiness, dynamics of language, and lack of resources. In this context, the main objective of the evaluation lab is to gain new insights into the transferability of named entity processing approaches across languages, time periods, document types, and annotation tag sets.
ZENODO; Lecture Note... arrow_drop_down ZENODO; Lecture Notes in Computer SciencePart of book or chapter of book . Conference object . 2022 . Peer-reviewedLicense: Springer Nature TDMInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsZurich Open Repository and ArchiveOther literature type . 2022Data sources: Zurich Open Repository and ArchiveMémoires en Sciences de l'Information et de la CommunicationPart of book or chapter of book . 2022Full-Text: https://hal.science/hal-03635971/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-99739-7_44&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 40visibility views 40 download downloads 55 Powered bymore_vert ZENODO; Lecture Note... arrow_drop_down ZENODO; Lecture Notes in Computer SciencePart of book or chapter of book . Conference object . 2022 . Peer-reviewedLicense: Springer Nature TDMInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsZurich Open Repository and ArchiveOther literature type . 2022Data sources: Zurich Open Repository and ArchiveMémoires en Sciences de l'Information et de la CommunicationPart of book or chapter of book . 2022Full-Text: https://hal.science/hal-03635971/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-99739-7_44&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Other literature type 2022 EnglishPublisher:HAL CCSD Funded by:EC | SmartAgriHubsEC| SmartAgriHubsAuthors: Brossard, Ludovic;Brossard, Ludovic;International audience
Hyper Article en Lig... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2022Full-Text: https://hal.inrae.fr/hal-03700634/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______166::724466be01a13e8778c1099f6a911469&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Hyper Article en Lig... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2022Full-Text: https://hal.inrae.fr/hal-03700634/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______166::724466be01a13e8778c1099f6a911469&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 2022 FrancePublisher:Springer International Publishing Funded by:EC | EMBEDDIA, EC | NewsEyeEC| EMBEDDIA ,EC| NewsEyeAuthors: Boros, Emanuela; Moreno, Jose G.; Doucet, Antoine;Boros, Emanuela; Moreno, Jose G.; Doucet, Antoine;International audience; In this paper, we approach a recent and under-researched paradigm for the task of event detection (ED) by casting it as a questionanswering (QA) problem with the possibility of multiple answers and the support of entities. The extraction of event triggers is, thus, transformed into the task of identifying answer spans from a context, while also focusing on the surrounding entities. The architecture is based on a pre-trained and fine-tuned language model, where the input context is augmented with entities marked at different levels, their positions, their types, and, finally, their argument roles. Experiments on the ACE 2005 corpus demonstrate that the proposed model properly leverages entity information in detecting events and that it is a viable solution for the ED task. Moreover, we demonstrate that our method with different entity markers is particularly able to extract unseen event types in few-shot learning settings.
ZENODO arrow_drop_down Lecture Notes in Computer SciencePart of book or chapter of book . 2022 . Peer-reviewedLicense: Springer TDMHAL Descartes; Mémoires en Sciences de l'Information et de la CommunicationPart of book or chapter of book . 2022Full-Text: https://hal.science/hal-03635982/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-99736-6_5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 74visibility views 74 download downloads 49 Powered bymore_vert ZENODO arrow_drop_down Lecture Notes in Computer SciencePart of book or chapter of book . 2022 . Peer-reviewedLicense: Springer TDMHAL Descartes; Mémoires en Sciences de l'Information et de la CommunicationPart of book or chapter of book . 2022Full-Text: https://hal.science/hal-03635982/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-99736-6_5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2022 FrancePublisher:SCITEPRESS - Science and Technology Publications Funded by:EC | MAS2TERINGEC| MAS2TERINGAuthors: Garcia Rodriguez, Sandra; Sleiman, Hassan;Garcia Rodriguez, Sandra; Sleiman, Hassan;International audience; Modern energy systems comprise different entities that interact to allow an intelligent production, distribution, and consumption of energy. They need efficient and distributed demand-response management mechanisms to find optimised configurations of parameters of the grid components. When working with time schedules, optimisation algorithms used for this purpose usually rely on forecasts. However, forecasts bring uncertainty, which is rarely considered in optimisation. This work presents a robust and decentralised optimisation approach that deals also with such uncertainty by searching for optimal power schedule solutions, which are also reliable in unexpected circumstances. Based on message passing, our approach uses meta-heuristics for performing local optimisations. The implementation and validation of our proposal was conducted by means of a distributed multi-agent system, where the obtained results have shown the efficiency of our approach
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5220/0010748900003116&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5220/0010748900003116&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2022Publisher:INRAE Funded by:EC | DEMETEREC| DEMETERBellon Maurel, Véronique; Tremblay, Nicolas; Cook, Simon; Lacoste, Myrtille; Taylor, James; Lemarié, Stéphane; Enriquez, Martha Lucia; Mangin, Zoé;doi: 10.17180/np12-jb28
The #OFE2021 conference “Farmer-centric On-Farm Experimentation—Digital Tools for a Scalable Transformative Pathway” was organised by INRAE-#DigitAg and the ISPA OFE-C (International Society of Precision Agriculture, On-Farm Experimentation Community). #OFE2021 was conducted in a hybrid format from October 13th to 15th in Montpellier (including one day dedicated to a workshop to develop policy propositions) and was preceded by a round of 4 webinars in May 2021 on 4 major themes for OFE Value creation, People and processes, Data analytics, and Policy linkages. Most of the 170 participants (40 people in Montpellier and 140 on-line) were researchers but also representatives from farmers’ associations, startups, NGOs, and policymakers. The conference achieved good geographical representation with 36 countries (54% from Europe, 16% from North America, 8% from South America, 8% from Asia, 8% from Africa and 6% from Oceania). The conference was structured around invited speakers addressing the 4 above-mentioned themes as well as 4-minutes videos/presentations, that were presented either as flashes or on the website only (as an alternative to traditional posters). This gave birth to a very rich and diversified scientific production. In total, 80 submissions were selected (30 papers and 50 short presentations).The present Proceedings have been built in an original multimedia format which gathers all the contributions that have been produced for the conference : pre-conference webinars, contributions of the invited speakers and of researchers who answered the call for papers and videos.
Data INRAE arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17180/np12-jb28&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Data INRAE arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17180/np12-jb28&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 FrancePublisher:ACM Funded by:EC | NewsEyeEC| NewsEyeHamdi, Ahmed; Linhares Pontes, Elvys; Boros, Emanuela; Nguyen, Thi Tuyet Hai; Hackl, Günter; Moreno, Jose,; Doucet, Antoine;International audience; Named entity processing over historical texts is more and more being used due to the massive documents and archives being stored in digital libraries. However, due to the poor annotated resources of historical nature, information extraction performances fall behind those on contemporary texts. In this paper, we introduce the development of the NewsEye resource, a multilingual dataset for named entity recognition and linking enriched with stances towards named entities. The dataset is comprised of diachronic historical newspaper material published between 1850 and 1950 in French, German, Finnish, and Swedish. Such historical resource is essential in the context of developing and evaluating named entity processing systems. It evenly allows enhancing the performances of existing approaches on historical documents which enables adequate and efficient semantic indexing of historical documents on digital cultural heritage collections.
ZENODO arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2021Full-Text: https://hal.science/hal-03418387/documenthttps://doi.org/10.1145/340483...Conference object . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3404835.3463255&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 253visibility views 253 download downloads 254 Powered bymore_vert ZENODO arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2021Full-Text: https://hal.science/hal-03418387/documenthttps://doi.org/10.1145/340483...Conference object . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3404835.3463255&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 FrancePublisher:ACM Funded by:EC | EMBEDDIA, EC | NewsEyeEC| EMBEDDIA ,EC| NewsEyeNhu Khoa Nguyen; Emanuela Boros; Gaël Lejeune; Antoine Doucet; Thierry Delahaut;International audience; In this paper, we present the different methods proposed for the FinSIM-2 Shared Task 2021 on Learning Semantic Similarities for the Financial domain. The main focus of this task is to evaluate the classification of financial terms into corresponding top-level concepts (also known as hypernyms) that were extracted from an external ontology. We approached the task as a semantic textual similarity problem. By relying on a siamese network with pre-trained language model encoders, we derived semantically meaningful term embeddings and computed similarity scores between them in a ranked manner. Additionally, we exhibit the results of different baselines in which the task is tackled as a multi-class classification problem. The proposed methods outperformed our baselines and proved the robustness of the models based on textual similarity siamese network. CCS CONCEPTS • Computing methodologies → Lexical semantics; Neural networks.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3442442.3451384&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 44visibility views 44 download downloads 69 Powered bymore_vert ZENODO arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Other literature type , Conference object , Research , Preprint , Article 2023 France, Netherlands, United Kingdom, France, FrancePublisher:Ubiquity Press, Ltd. Funded by:EC | BY-COVID, EC | EOSC-Life, EC | ISIDOReEC| BY-COVID ,EC| EOSC-Life ,EC| ISIDOReDavid, Romain; Richard, Audrey S.; Connellan, Claire; Lauer, Katharina B.; Chiusano, Maria Luisa; Goble, Carole; Houde, Martin; Kemmer, Isabel; Keppler, Antje; Lieutaud, Philippe; Ohmann, Christian; Panagiotopoulou, Maria; Raza Khan, Sara; Rybina, Arina; Soiland-Reyes, Stian; Wit, Charlotte; Wittner, Rudolf; Andrade Buono, Rafael; Marsh, Sarah Arnaud; Audergon, Pauline; Bonfils, Dylan; Carazo, Jose-Maria; Charrel, Remi; Coppens, Frederik; Fecke, Wolfgang; Filippone, Claudia; Garcia Alvarez, Eva; Gul, Sheraz; Hermjakob, Henning; Herzog, Katja; Holub, Petr; Kozera, Lukasz; Lister, Allyson L.; López-Coronado, José; Madon, Bénédicte; Majcen, Kurt; Martin, William; Müller, Wolfgang; Papadopoulou, Elli; Prat, Christine M.A.; Romano, Paolo; Sansone, Susanna-Assunta; Saunders, Gary; Blomberg, Niklas; Ewbank, Jonathan;THIS PAPER IS NOW PUBLISHED: https://doi.org/10.5334/dsj-2023-035 The Horizon Europe project ISIDORe is dedicated to pandemic preparedness and responsiveness research. It brings together 17 Research Infrastructures (RIs) and networks to provide a broad range of services to infectious disease researchers. An efficient and structured treatment of data is central to ISIDORe’s aim to furnish seamless access to its multidisciplinary catalogue of services, and to ensure that users’ results are treated FAIRly. ISIDORe therefore requires a data management plan (DMP) covering both access management and research outputs, applicable over a broad range of disciplines, and compatible with the constraints and existing practices of its diverse partners. We undertook an iterative, step-by-step, process to build a community-approved living document, identifying good practices and processes, on the basis of use cases, presented as proof of concepts. International fora such as the RDA and EOSC, and primarily the BY-COVID project, furnished registries, tools and online data platforms, as well as standards, and the support of data scientists. Together, these elements provide a path for building an umbrella, FAIR-compliant DMP, aligned as fully as possible with FAIR principles, which could also be applied as a framework for data management harmonisation in other large-scale, challenge-driven projects. Finally, we discuss how data management and reuse can be further improved through the writing of realistic DMPs using 'DMP profiles' and, in the future, the contribution of an inter RIs data steward network, to produce a Community of Practice that could be integrated into planned trans-RI competence centres. Preprint added on zenodo with the autorisation of DSJ Editor
Oxford University Re... arrow_drop_down Oxford University Research ArchiveOther literature type . 2023License: CC BYData sources: Oxford University Research ArchiveZENODO; The University of Manchester - Institutional RepositoryArticle . Preprint . 2023License: CC BYHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04210490/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 595visibility views 595 download downloads 447 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research ArchiveOther literature type . 2023License: CC BYData sources: Oxford University Research ArchiveZENODO; The University of Manchester - Institutional RepositoryArticle . Preprint . 2023License: CC BYHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04210490/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5334/dsj-2023-035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2023Publisher:EDP Sciences Funded by:EC | comfortAEC| comfortAAuthors: Vellei, Marika; de Dear, Richard; Le Dreau, Jérôme; Nicolle, Jérôme;Vellei, Marika; de Dear, Richard; Le Dreau, Jérôme; Nicolle, Jérôme;A better understanding of the psycho-physiological mechanisms driving human thermal perception during dynamic conditions is important to improve physiological-based thermal comfort models. During thermal transients, the two phenomena of thermal overshoot and thermal alliesthesia concurrently affect thermal comfort. However, they have to date been analysed separately. In this paper, we report the results of an experiment exploring the subjective responses of 16 males and 48 females to four different whole-body warm and cool step-change transients at different times of day (morning/afternoon) and in distinct seasons (summer/autumn). We found that time of day and season both significantly affect the relationship between thermal comfort and thermal sensation. This relationship was then used to predict the thermal comfort overshoot which was compared to the actual comfort vote during the step-change transients. This allowed us to separate the contribution to thermal comfort due to thermal overshoot from that attributed to thermal alliesthesia. We could show that, during the step-change transients, positive alliesthesia increases the level of thermal comfort proportionally to the perceived corrective potential of the whole-body discomfort, and this effect gets stronger as we move away from thermal neutrality.
E3S Web of Conferenc... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BYFull-Text: https://hal.science/hal-04195093/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1051/e3sconf/202339601003&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert E3S Web of Conferenc... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BYFull-Text: https://hal.science/hal-04195093/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1051/e3sconf/202339601003&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article , Preprint 2022 ItalyPublisher:IEEE Funded by:EC | 321EC| 321Davide, Consoli; Clement, Henry; Alexandre, Dely; Lyes, Rahmouni; John Erick, Ortiz Guzman; Tiffany L. , Chhim; Simon B. , Adrian; Adrien, Merlini; Francesco P. , Andriulli;International audience; This work presents a fast direct solver strategy for electromagnetic integral equations in the high-frequency regime. The new scheme relies on a suitably preconditioned combined field formulation and results in a single skeleton form plus identity equation. This is obtained after a regularization of the elliptic spectrum through the extraction of a suitably chosen equivalent circulant problem. The inverse of the system matrix is then obtained by leveraging the Woodbury matrix identity, the low-rank representation of the extracted part of the operator, and fast circulant algebra yielding a scheme with a favorable complexity and suitable for the solution of multiple right-hand sides. Theoretical considerations are accompanied by numerical results both of which are confirming and showing the practical relevance of the newly developed scheme.
Publications Open Re... arrow_drop_down Publications Open Repository TOrinoConference object . 2022Data sources: Publications Open Repository TOrinoPublications Open Repository TOrinoConference object . 2022Data sources: Publications Open Repository TOrinoMémoires en Sciences de l'Information et de la CommunicationConference object . 2022Full-Text: https://hal.science/hal-03762873/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iceaa49419.2022.9899870&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Publications Open Re... arrow_drop_down Publications Open Repository TOrinoConference object . 2022Data sources: Publications Open Repository TOrinoPublications Open Repository TOrinoConference object . 2022Data sources: Publications Open Repository TOrinoMémoires en Sciences de l'Information et de la CommunicationConference object . 2022Full-Text: https://hal.science/hal-03762873/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iceaa49419.2022.9899870&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2022 SwitzerlandPublisher:Springer International Publishing Funded by:EC | NewsEyeEC| NewsEyeAuthors: Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine; Clematide, Simon;Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine; Clematide, Simon;International audience; We present the HIPE-2022 shared task on named entity processing in multilingual historical documents. Following the success of the first CLEF-HIPE-2020 evaluation lab, this edition confronts systems with the challenges of dealing with more languages, learning domain-specific entities, and adapting to diverse annotation tag sets. HIPE-2022 is part of the ongoing efforts of the natural language processing and digital humanities communities to adapt and develop appropriate technologies to efficiently retrieve and explore information from historical texts. On such material, however, named entity processing techniques face the challenges of domain heterogeneity, input noisiness, dynamics of language, and lack of resources. In this context, the main objective of the evaluation lab is to gain new insights into the transferability of named entity processing approaches across languages, time periods, document types, and annotation tag sets.
ZENODO; Lecture Note... arrow_drop_down ZENODO; Lecture Notes in Computer SciencePart of book or chapter of book . Conference object . 2022 . Peer-reviewedLicense: Springer Nature TDMInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsZurich Open Repository and ArchiveOther literature type . 2022Data sources: Zurich Open Repository and ArchiveMémoires en Sciences de l'Information et de la CommunicationPart of book or chapter of book . 2022Full-Text: https://hal.science/hal-03635971/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-99739-7_44&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 40visibility views 40 download downloads 55 Powered bymore_vert ZENODO; Lecture Note... arrow_drop_down ZENODO; Lecture Notes in Computer SciencePart of book or chapter of book . Conference object . 2022 . Peer-reviewedLicense: Springer Nature TDMInfoscience - EPFL scientific publicationsOther literature typeData sources: Infoscience - EPFL scientific publicationsZurich Open Repository and ArchiveOther literature type . 2022Data sources: Zurich Open Repository and ArchiveMémoires en Sciences de l'Information et de la CommunicationPart of book or chapter of book . 2022Full-Text: https://hal.science/hal-03635971/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-99739-7_44&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Other literature type 2022 EnglishPublisher:HAL CCSD Funded by:EC | SmartAgriHubsEC| SmartAgriHubsAuthors: Brossard, Ludovic;Brossard, Ludovic;International audience
Hyper Article en Lig... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2022Full-Text: https://hal.inrae.fr/hal-03700634/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______166::724466be01a13e8778c1099f6a911469&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Hyper Article en Lig... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2022Full-Text: https://hal.inrae.fr/hal-03700634/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______166::724466be01a13e8778c1099f6a911469&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 2022 FrancePublisher:Springer International Publishing Funded by:EC | EMBEDDIA, EC | NewsEyeEC| EMBEDDIA ,EC| NewsEyeAuthors: Boros, Emanuela; Moreno, Jose G.; Doucet, Antoine;Boros, Emanuela; Moreno, Jose G.; Doucet, Antoine;International audience; In this paper, we approach a recent and under-researched paradigm for the task of event detection (ED) by casting it as a questionanswering (QA) problem with the possibility of multiple answers and the support of entities. The extraction of event triggers is, thus, transformed into the task of identifying answer spans from a context, while also focusing on the surrounding entities. The architecture is based on a pre-trained and fine-tuned language model, where the input context is augmented with entities marked at different levels, their positions, their types, and, finally, their argument roles. Experiments on the ACE 2005 corpus demonstrate that the proposed model properly leverages entity information in detecting events and that it is a viable solution for the ED task. Moreover, we demonstrate that our method with different entity markers is particularly able to extract unseen event types in few-shot learning settings.
ZENODO arrow_drop_down Lecture Notes in Computer SciencePart of book or chapter of book . 2022 . Peer-reviewedLicense: Springer TDMHAL Descartes; Mémoires en Sciences de l'Information et de la CommunicationPart of book or chapter of book . 2022Full-Text: https://hal.science/hal-03635982/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-99736-6_5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 74visibility views 74 download downloads 49 Powered bymore_vert ZENODO arrow_drop_down Lecture Notes in Computer SciencePart of book or chapter of book . 2022 . Peer-reviewedLicense: Springer TDMHAL Descartes; Mémoires en Sciences de l'Information et de la CommunicationPart of book or chapter of book . 2022Full-Text: https://hal.science/hal-03635982/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-99736-6_5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2022 FrancePublisher:SCITEPRESS - Science and Technology Publications Funded by:EC | MAS2TERINGEC| MAS2TERINGAuthors: Garcia Rodriguez, Sandra; Sleiman, Hassan;Garcia Rodriguez, Sandra; Sleiman, Hassan;International audience; Modern energy systems comprise different entities that interact to allow an intelligent production, distribution, and consumption of energy. They need efficient and distributed demand-response management mechanisms to find optimised configurations of parameters of the grid components. When working with time schedules, optimisation algorithms used for this purpose usually rely on forecasts. However, forecasts bring uncertainty, which is rarely considered in optimisation. This work presents a robust and decentralised optimisation approach that deals also with such uncertainty by searching for optimal power schedule solutions, which are also reliable in unexpected circumstances. Based on message passing, our approach uses meta-heuristics for performing local optimisations. The implementation and validation of our proposal was conducted by means of a distributed multi-agent system, where the obtained results have shown the efficiency of our approach
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5220/0010748900003116&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5220/0010748900003116&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2022Publisher:INRAE Funded by:EC | DEMETEREC| DEMETERBellon Maurel, Véronique; Tremblay, Nicolas; Cook, Simon; Lacoste, Myrtille; Taylor, James; Lemarié, Stéphane; Enriquez, Martha Lucia; Mangin, Zoé;doi: 10.17180/np12-jb28
The #OFE2021 conference “Farmer-centric On-Farm Experimentation—Digital Tools for a Scalable Transformative Pathway” was organised by INRAE-#DigitAg and the ISPA OFE-C (International Society of Precision Agriculture, On-Farm Experimentation Community). #OFE2021 was conducted in a hybrid format from October 13th to 15th in Montpellier (including one day dedicated to a workshop to develop policy propositions) and was preceded by a round of 4 webinars in May 2021 on 4 major themes for OFE Value creation, People and processes, Data analytics, and Policy linkages. Most of the 170 participants (40 people in Montpellier and 140 on-line) were researchers but also representatives from farmers’ associations, startups, NGOs, and policymakers. The conference achieved good geographical representation with 36 countries (54% from Europe, 16% from North America, 8% from South America, 8% from Asia, 8% from Africa and 6% from Oceania). The conference was structured around invited speakers addressing the 4 above-mentioned themes as well as 4-minutes videos/presentations, that were presented either as flashes or on the website only (as an alternative to traditional posters). This gave birth to a very rich and diversified scientific production. In total, 80 submissions were selected (30 papers and 50 short presentations).The present Proceedings have been built in an original multimedia format which gathers all the contributions that have been produced for the conference : pre-conference webinars, contributions of the invited speakers and of researchers who answered the call for papers and videos.
Data INRAE arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17180/np12-jb28&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Data INRAE arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17180/np12-jb28&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 FrancePublisher:ACM Funded by:EC | NewsEyeEC| NewsEyeHamdi, Ahmed; Linhares Pontes, Elvys; Boros, Emanuela; Nguyen, Thi Tuyet Hai; Hackl, Günter; Moreno, Jose,; Doucet, Antoine;International audience; Named entity processing over historical texts is more and more being used due to the massive documents and archives being stored in digital libraries. However, due to the poor annotated resources of historical nature, information extraction performances fall behind those on contemporary texts. In this paper, we introduce the development of the NewsEye resource, a multilingual dataset for named entity recognition and linking enriched with stances towards named entities. The dataset is comprised of diachronic historical newspaper material published between 1850 and 1950 in French, German, Finnish, and Swedish. Such historical resource is essential in the context of developing and evaluating named entity processing systems. It evenly allows enhancing the performances of existing approaches on historical documents which enables adequate and efficient semantic indexing of historical documents on digital cultural heritage collections.
ZENODO arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2021Full-Text: https://hal.science/hal-03418387/documenthttps://doi.org/10.1145/340483...Conference object . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3404835.3463255&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 253visibility views 253 download downloads 254 Powered bymore_vert ZENODO arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2021Full-Text: https://hal.science/hal-03418387/documenthttps://doi.org/10.1145/340483...Conference object . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3404835.3463255&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 FrancePublisher:ACM Funded by:EC | EMBEDDIA, EC | NewsEyeEC| EMBEDDIA ,EC| NewsEyeNhu Khoa Nguyen; Emanuela Boros; Gaël Lejeune; Antoine Doucet; Thierry Delahaut;International audience; In this paper, we present the different methods proposed for the FinSIM-2 Shared Task 2021 on Learning Semantic Similarities for the Financial domain. The main focus of this task is to evaluate the classification of financial terms into corresponding top-level concepts (also known as hypernyms) that were extracted from an external ontology. We approached the task as a semantic textual similarity problem. By relying on a siamese network with pre-trained language model encoders, we derived semantically meaningful term embeddings and computed similarity scores between them in a ranked manner. Additionally, we exhibit the results of different baselines in which the task is tackled as a multi-class classification problem. The proposed methods outperformed our baselines and proved the robustness of the models based on textual similarity siamese network. CCS CONCEPTS • Computing methodologies → Lexical semantics; Neural networks.
ZENODO arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3442442.3451384&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 44visibility views 44 download downloads 69 Powered bymore_vert ZENODO arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3442442.3451384&type=result"></script>'); --> </script>
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