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description Publicationkeyboard_double_arrow_right Article , Preprint 2021 France, France, France, GermanyPublisher:Springer Science and Business Media LLC Funded by:EC | HaS-DARIAHEC| HaS-DARIAHBuddenbohm, Stefan; de Jong, Maaike; Minel, Jean-Luc; Moranville, Yoann; Buddenbohm, Stefan; Göttingen State and University Library, Göttingen, Germany; de Jong, Maaike; Koninklijke Nederlandse Academie van Wetenschappen, Amsterdam, the Netherlands; Minel, Jean-Luc; Universite Paris-Nanterre, Nanterre, France; Moranville, Yoann; DARIAH, Berlin, Germany;Abstract How can researchers identify suitable research data repositories for the deposit of their research data? Which repository matches best the technical and legal requirements of a specific research project? For this end and with a humanities perspective the Data Deposit Recommendation Service (DDRS) has been developed as a prototype. It not only serves as a functional service for selecting humanities research data repositories but it is particularly a technical demonstrator illustrating the potential of re-using an already existing infrastructure - in this case re3data - and the feasibility to set up this kind of service for other research disciplines. The documentation and the code of this project can be found in the DARIAH GitHub repository: https://dariah-eric.github.io/ddrs/. H2020 Research Infrastructures http://dx.doi.org/10.13039/100010666 Georg-August-Universität Göttingen (1018)
International Journa... arrow_drop_down International Journal of Digital HumanitiesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefHAL Descartes; HAL Paris Nanterre; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2021License: CC BYFull-Text: https://hal.science/hal-03020703v3/documentHyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotArticle . 2021License: CC BYMémoires en Sciences de l'Information et de la Communication; Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotPreprint . 2020License: CC BY NC NDadd 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/s42803-021-00030-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert International Journa... arrow_drop_down International Journal of Digital HumanitiesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefHAL Descartes; HAL Paris Nanterre; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2021License: CC BYFull-Text: https://hal.science/hal-03020703v3/documentHyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotArticle . 2021License: CC BYMémoires en Sciences de l'Information et de la Communication; Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotPreprint . 2020License: CC BY NC NDadd 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/s42803-021-00030-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2019Publisher:ACM Funded by:EC | ALEXANDRIA, EC | AFEL, EC | DESIREC| ALEXANDRIA ,EC| AFEL ,EC| DESIRAuthors: Hube, Christoph; Fetahu, Besnik;Hube, Christoph; Fetahu, Besnik;Biased language commonly occurs around topics which are of controversial nature, thus, stirring disagreement between the different involved parties of a discussion. This is due to the fact that for language and its use, specifically, the understanding and use of phrases, the stances are cohesive within the particular groups. However, such cohesiveness does not hold across groups. In collaborative environments or environments where impartial language is desired (e.g. Wikipedia, news media), statements and the language therein should represent equally the involved parties and be neutrally phrased. Biased language is introduced through the presence of inflammatory words or phrases, or statements that may be incorrect or one-sided, thus violating such consensus. In this work, we focus on the specific case of phrasing bias, which may be introduced through specific inflammatory words or phrases in a statement. For this purpose, we propose an approach that relies on a recurrent neural networks in order to capture the inter-dependencies between words in a phrase that introduced bias. We perform a thorough experimental evaluation, where we show the advantages of a neural based approach over competitors that rely on word lexicons and other hand-crafted features in detecting biased language. We are able to distinguish biased statements with a precision of P=0.92, thus significantly outperforming baseline models with an improvement of over 30%. Finally, we release the largest corpus of statements annotated for biased language. Comment: The Twelfth ACM International Conference on Web Search and Data Mining, February 11--15, 2019, Melbourne, VIC, Australia
arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2018Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1145/328960...Conference object . 2019 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1145/3289600.3291018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2018Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1145/328960...Conference object . 2019 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1145/3289600.3291018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 France, United Kingdom, Germany EnglishPublisher:HAL CCSD Funded by:EC | CENDARIEC| CENDARINadia Boukhelifa; Michael Bryant; Natasa Bulatovic; Ivan Čukić; Jean-Daniel Fekete; Milica Knežević; Jörg Lehmann; David I. Stuart; Carsten Thiel;doi: 10.1145/3092906
The CENDARI infrastructure is a research-supporting platform designed to provide tools for transnational historical research, focusing on two topics: medieval culture and World War I. It exposes to the end users modern Web-based tools relying on a sophisticated infrastructure to collect, enrich, annotate, and search through large document corpora. Supporting researchers in their daily work is a novel concern for infrastructures. We describe how we gathered requirements through multiple methods to understand historians' needs and derive an abstract workflow to support them. We then outline the tools that we have built, tying their technical descriptions to the user requirements. The main tools are the note-taking environment and its faceted search capabilities; the data integration platform including the Data API, supporting semantic enrichment through entity recognition; and the environment supporting the software development processes throughout the project to keep both technical partners and researchers in the loop. The outcomes are technical together with new resources developed and gathered, and the research workflow that has been described and documented. International audience
OpenAIRE arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2016Data sources: arXiv.org e-Print ArchivePublikationenserver der Georg-August-Universität GöttingenArticle . 2020Journal on Computing and Cultural HeritageArticle . 2018 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: CrossrefHal-DiderotArticle . 2018License: CC BYFull-Text: https://hal.inria.fr/hal-01523102v2/documentData sources: Hal-DiderotHAL - UPEC / UPEM; HAL-Pasteur; HAL-InsermArticle . 2018License: CC BYFull-Text: https://hal.inria.fr/hal-01523102v2/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=10.1145/3092906&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid more_vert OpenAIRE arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2016Data sources: arXiv.org e-Print ArchivePublikationenserver der Georg-August-Universität GöttingenArticle . 2020Journal on Computing and Cultural HeritageArticle . 2018 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: CrossrefHal-DiderotArticle . 2018License: CC BYFull-Text: https://hal.inria.fr/hal-01523102v2/documentData sources: Hal-DiderotHAL - UPEC / UPEM; HAL-Pasteur; HAL-InsermArticle . 2018License: CC BYFull-Text: https://hal.inria.fr/hal-01523102v2/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=10.1145/3092906&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
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description Publicationkeyboard_double_arrow_right Article , Preprint 2021 France, France, France, GermanyPublisher:Springer Science and Business Media LLC Funded by:EC | HaS-DARIAHEC| HaS-DARIAHBuddenbohm, Stefan; de Jong, Maaike; Minel, Jean-Luc; Moranville, Yoann; Buddenbohm, Stefan; Göttingen State and University Library, Göttingen, Germany; de Jong, Maaike; Koninklijke Nederlandse Academie van Wetenschappen, Amsterdam, the Netherlands; Minel, Jean-Luc; Universite Paris-Nanterre, Nanterre, France; Moranville, Yoann; DARIAH, Berlin, Germany;Abstract How can researchers identify suitable research data repositories for the deposit of their research data? Which repository matches best the technical and legal requirements of a specific research project? For this end and with a humanities perspective the Data Deposit Recommendation Service (DDRS) has been developed as a prototype. It not only serves as a functional service for selecting humanities research data repositories but it is particularly a technical demonstrator illustrating the potential of re-using an already existing infrastructure - in this case re3data - and the feasibility to set up this kind of service for other research disciplines. The documentation and the code of this project can be found in the DARIAH GitHub repository: https://dariah-eric.github.io/ddrs/. H2020 Research Infrastructures http://dx.doi.org/10.13039/100010666 Georg-August-Universität Göttingen (1018)
International Journa... arrow_drop_down International Journal of Digital HumanitiesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefHAL Descartes; HAL Paris Nanterre; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2021License: CC BYFull-Text: https://hal.science/hal-03020703v3/documentHyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotArticle . 2021License: CC BYMémoires en Sciences de l'Information et de la Communication; Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotPreprint . 2020License: CC BY NC NDadd 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/s42803-021-00030-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert International Journa... arrow_drop_down International Journal of Digital HumanitiesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefHAL Descartes; HAL Paris Nanterre; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2021License: CC BYFull-Text: https://hal.science/hal-03020703v3/documentHyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotArticle . 2021License: CC BYMémoires en Sciences de l'Information et de la Communication; Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotPreprint . 2020License: CC BY NC NDadd 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/s42803-021-00030-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2019Publisher:ACM Funded by:EC | ALEXANDRIA, EC | AFEL, EC | DESIREC| ALEXANDRIA ,EC| AFEL ,EC| DESIRAuthors: Hube, Christoph; Fetahu, Besnik;Hube, Christoph; Fetahu, Besnik;Biased language commonly occurs around topics which are of controversial nature, thus, stirring disagreement between the different involved parties of a discussion. This is due to the fact that for language and its use, specifically, the understanding and use of phrases, the stances are cohesive within the particular groups. However, such cohesiveness does not hold across groups. In collaborative environments or environments where impartial language is desired (e.g. Wikipedia, news media), statements and the language therein should represent equally the involved parties and be neutrally phrased. Biased language is introduced through the presence of inflammatory words or phrases, or statements that may be incorrect or one-sided, thus violating such consensus. In this work, we focus on the specific case of phrasing bias, which may be introduced through specific inflammatory words or phrases in a statement. For this purpose, we propose an approach that relies on a recurrent neural networks in order to capture the inter-dependencies between words in a phrase that introduced bias. We perform a thorough experimental evaluation, where we show the advantages of a neural based approach over competitors that rely on word lexicons and other hand-crafted features in detecting biased language. We are able to distinguish biased statements with a precision of P=0.92, thus significantly outperforming baseline models with an improvement of over 30%. Finally, we release the largest corpus of statements annotated for biased language. Comment: The Twelfth ACM International Conference on Web Search and Data Mining, February 11--15, 2019, Melbourne, VIC, Australia
arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2018Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1145/328960...Conference object . 2019 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1145/3289600.3291018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2018Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1145/328960...Conference object . 2019 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1145/3289600.3291018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 France, United Kingdom, Germany EnglishPublisher:HAL CCSD Funded by:EC | CENDARIEC| CENDARINadia Boukhelifa; Michael Bryant; Natasa Bulatovic; Ivan Čukić; Jean-Daniel Fekete; Milica Knežević; Jörg Lehmann; David I. Stuart; Carsten Thiel;doi: 10.1145/3092906
The CENDARI infrastructure is a research-supporting platform designed to provide tools for transnational historical research, focusing on two topics: medieval culture and World War I. It exposes to the end users modern Web-based tools relying on a sophisticated infrastructure to collect, enrich, annotate, and search through large document corpora. Supporting researchers in their daily work is a novel concern for infrastructures. We describe how we gathered requirements through multiple methods to understand historians' needs and derive an abstract workflow to support them. We then outline the tools that we have built, tying their technical descriptions to the user requirements. The main tools are the note-taking environment and its faceted search capabilities; the data integration platform including the Data API, supporting semantic enrichment through entity recognition; and the environment supporting the software development processes throughout the project to keep both technical partners and researchers in the loop. The outcomes are technical together with new resources developed and gathered, and the research workflow that has been described and documented. International audience
OpenAIRE arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2016Data sources: arXiv.org e-Print ArchivePublikationenserver der Georg-August-Universität GöttingenArticle . 2020Journal on Computing and Cultural HeritageArticle . 2018 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: CrossrefHal-DiderotArticle . 2018License: CC BYFull-Text: https://hal.inria.fr/hal-01523102v2/documentData sources: Hal-DiderotHAL - UPEC / UPEM; HAL-Pasteur; HAL-InsermArticle . 2018License: CC BYFull-Text: https://hal.inria.fr/hal-01523102v2/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=10.1145/3092906&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid more_vert OpenAIRE arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2016Data sources: arXiv.org e-Print ArchivePublikationenserver der Georg-August-Universität GöttingenArticle . 2020Journal on Computing and Cultural HeritageArticle . 2018 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: CrossrefHal-DiderotArticle . 2018License: CC BYFull-Text: https://hal.inria.fr/hal-01523102v2/documentData sources: Hal-DiderotHAL - UPEC / UPEM; HAL-Pasteur; HAL-InsermArticle . 2018License: CC BYFull-Text: https://hal.inria.fr/hal-01523102v2/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=10.1145/3092906&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu