Apr 1, 2020 · The main goal of this research is to produce a useful software for United Nations (UN), that could help to speed up the process of qualifying the UN documents.
Oct 29, 2020 · The main goal of this research is to produce a useful software for United Nations (UN), that could help to speed up the process of ...
The main goal of this research is to produce a useful software for United Nations (UN), that could help to speed up the process of qualifying the UN ...
Medical Informatics Assoc. 2019. OBJECTIVE In multi-label text classification, each textual document is assigned 1 or more labels.
We show the effectiveness of our method in a legal context, by classifying UN Resolutions according to their most related SDGs. CCS CONCEPTS. • Applied ...
Sovrano et al. [8] proposed an ensemble method for multi-label text classification of UNGA Resolutions, combining nondomain-specific deep learning based ...
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions - Pull requests ...
Sovrano, F., Palmirani, M., Vitali, F. (2020). Deep learning based multi-label text classification of UNGA resolutions. New York : ACM Association for ...
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We propose a novel model for multi-label text classification, which is based on sequence-to-sequence learning.
Security: Francesco-Sovrano/Deep-Learning-Based-Multi-Label-Text-Classification-of-UNGA-Resolutions · Security · There aren't any published security advisories ...