@inproceedings{pollak-etal-2021-embeddia,
title = "{EMBEDDIA} Tools, Datasets and Challenges: Resources and Hackathon Contributions",
author = {Pollak, Senja and
Robnik-{\v{S}}ikonja, Marko and
Purver, Matthew and
Boggia, Michele and
Shekhar, Ravi and
Pranji{\'c}, Marko and
Salmela, Salla and
Krustok, Ivar and
Paju, Tarmo and
Linden, Carl-Gustav and
Lepp{\"a}nen, Leo and
Zosa, Elaine and
Ul{\v{c}}ar, Matej and
Freienthal, Linda and
Traat, Silver and
Cabrera-Diego, Luis Adri{\'a}n and
Martinc, Matej and
Lavra{\v{c}}, Nada and
{\v{S}}krlj, Bla{\v{z}} and
{\v{Z}}nidar{\v{s}}i{\v{c}}, Martin and
Pelicon, Andra{\v{z}} and
Koloski, Boshko and
Podpe{\v{c}}an, Vid and
Kranjc, Janez and
Sheehan, Shane and
Boros, Emanuela and
Moreno, Jose G. and
Doucet, Antoine and
Toivonen, Hannu},
editor = "Toivonen, Hannu and
Boggia, Michele",
booktitle = "Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.hackashop-1.14",
pages = "99--109",
abstract = "This paper presents tools and data sources collected and released by the EMBEDDIA project, supported by the European Union{'}s Horizon 2020 research and innovation program. The collected resources were offered to participants of a hackathon organized as part of the EACL Hackashop on News Media Content Analysis and Automated Report Generation in February 2021. The hackathon had six participating teams who addressed different challenges, either from the list of proposed challenges or their own news-industry-related tasks. This paper goes beyond the scope of the hackathon, as it brings together in a coherent and compact form most of the resources developed, collected and released by the EMBEDDIA project. Moreover, it constitutes a handy source for news media industry and researchers in the fields of Natural Language Processing and Social Science.",
}
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<abstract>This paper presents tools and data sources collected and released by the EMBEDDIA project, supported by the European Union’s Horizon 2020 research and innovation program. The collected resources were offered to participants of a hackathon organized as part of the EACL Hackashop on News Media Content Analysis and Automated Report Generation in February 2021. The hackathon had six participating teams who addressed different challenges, either from the list of proposed challenges or their own news-industry-related tasks. This paper goes beyond the scope of the hackathon, as it brings together in a coherent and compact form most of the resources developed, collected and released by the EMBEDDIA project. Moreover, it constitutes a handy source for news media industry and researchers in the fields of Natural Language Processing and Social Science.</abstract>
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%0 Conference Proceedings
%T EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions
%A Pollak, Senja
%A Robnik-Šikonja, Marko
%A Purver, Matthew
%A Boggia, Michele
%A Shekhar, Ravi
%A Pranjić, Marko
%A Salmela, Salla
%A Krustok, Ivar
%A Paju, Tarmo
%A Linden, Carl-Gustav
%A Leppänen, Leo
%A Zosa, Elaine
%A Ulčar, Matej
%A Freienthal, Linda
%A Traat, Silver
%A Cabrera-Diego, Luis Adrián
%A Martinc, Matej
%A Lavrač, Nada
%A Škrlj, Blaž
%A Žnidaršič, Martin
%A Pelicon, Andraž
%A Koloski, Boshko
%A Podpečan, Vid
%A Kranjc, Janez
%A Sheehan, Shane
%A Boros, Emanuela
%A Moreno, Jose G.
%A Doucet, Antoine
%A Toivonen, Hannu
%Y Toivonen, Hannu
%Y Boggia, Michele
%S Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F pollak-etal-2021-embeddia
%X This paper presents tools and data sources collected and released by the EMBEDDIA project, supported by the European Union’s Horizon 2020 research and innovation program. The collected resources were offered to participants of a hackathon organized as part of the EACL Hackashop on News Media Content Analysis and Automated Report Generation in February 2021. The hackathon had six participating teams who addressed different challenges, either from the list of proposed challenges or their own news-industry-related tasks. This paper goes beyond the scope of the hackathon, as it brings together in a coherent and compact form most of the resources developed, collected and released by the EMBEDDIA project. Moreover, it constitutes a handy source for news media industry and researchers in the fields of Natural Language Processing and Social Science.
%U https://aclanthology.org/2021.hackashop-1.14
%P 99-109
Markdown (Informal)
[EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions](https://aclanthology.org/2021.hackashop-1.14) (Pollak et al., Hackashop 2021)
ACL
- Senja Pollak, Marko Robnik-Šikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjić, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppänen, Elaine Zosa, Matej Ulčar, Linda Freienthal, Silver Traat, Luis Adrián Cabrera-Diego, Matej Martinc, Nada Lavrač, Blaž Škrlj, et al.. 2021. EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. In Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, pages 99–109, Online. Association for Computational Linguistics.