A semi-supervised approach to multi-label classification of NOTAMs using BERT

Pre print of the paper "A semi-supervised approach to multi-label classification of NOTAMs using BERT". Submitted to the 2025 Sesar Innovation Days conference.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-02
DOI
https://doi.org/10.5281/zenodo.17251033
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

A semi-supervised approach to multi-label classification of NOTAMs using BERT

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

A semi-supervised approach to multi-label classification of NOTAMs using BERT

article en

Abstract

Pre print of the paper "A semi-supervised approach to multi-label classification of NOTAMs using BERT". Submitted to the 2025 Sesar Innovation Days conference.

Zenodo (CERN European Organization for Nuclear Research)
Tecnalia (ES), Nommon Solutions and Technologies (Spain) (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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A semi-supervised approach to multi-label classification of NOTAMs using BERT · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS