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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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Cultura investigativa del docente en Latinoamérica en la era digita
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 70, 2022 (Ejemplar dedicado a: Nuevos retos del profesorado ante la enseñanza digital), pags. 71-83 (2022)
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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Abstract:
PLEASE GO TO LATEST VERSION In this report we demonstrate how we made the multi-lingual text classifier to match research papers to the Sustainable Development Goals (SDGs) of the United Nations. We trained the mBERT multi-language model to classify the 169 individual SDG Targets, based on the English abstracts in the corpus of 1.4 million research papers we gathered using the Aurora SDG Query model v5. This is a follow-up project of the query based Aurora SDG classification model. The purpose of this project is to try and tackle several issues: 1. to label also research output to an SDG that is written in a non-english language, 2. to include papers that use other terms than the exact terms used in keyword searches, 3. to have a classification model that works independent from any other database specific query language. In this report we show how we decided to use the abstracts only and the mBERT model to train the classifier. Also we show why we trained 169 individual models, instead of 1 multi-label ... : Acknowledgements Many thanks to Maéva Vignes from University of South Denmark, to allow us to use their UCloud HPC facilities and budget to train the mBERT models on their GPU's. Funded by Funded by European Commission, Project ID: 101004013, Call: EAC-A02-2019-1, Programme: EPLUS2020, DG/Agency: EACEA Read more [ Project website | Zenodo Community | Github ] Change log 2021-12-01 | v0.3 | added .csv file with accuracy statistics of the models 2021-11-30 | v0.2 | added .csv file with download urls of the models 2021-10-29 | v0.1 | added initial .md file as placeholder for this dataset ...
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Keyword:
Machine Learning; Mapping; mBERT; Research output; Scientific publications; SDGs; Sustainable Development Goals
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URL: https://dx.doi.org/10.5281/zenodo.5747177
https://zenodo.org/record/5747177
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ...
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The development of program of experimental research on the formation of intercultural competence of higher military educational institutions cadets during foreign language training
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In: EUREKA: Social and Humanities ; 4 ; 57-62 (2021)
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Students’ perceptions of a scientific writing course: SFL Genre Pedagogy in an EFL context
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In: Signo; v. 46, n. 86 (2021); 86-102 ; 1982-2014 ; 0101-1812 (2021)
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НАУЧНЫЕ ИССЛЕДОВАНИЯ КАК НЕОТЪЕМЛЕМАЯ СОСТАВЛЯЮЩАЯ УЧЕБНОГО ПРОЦЕССА В ВУЗЕ ...
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НАУЧНЫЕ ИССЛЕДОВАНИЯ КАК НЕОТЪЕМЛЕМАЯ СОСТАВЛЯЮЩАЯ УЧЕБНОГО ПРОЦЕССА В ВУЗЕ ...
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