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Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple In-Batch Negatives Loss

AuthID
P-010-9YK

Author(s)

Duarte, AV

Oliveira, AL

Editor(s)

Arif Wani,M;Boicu,M;Sayed Mouchaweh,M;Abreu,PH;Gama,J

Document Type

Proceedings Paper

Year published

2023

Published

in ICMLA

Pages: 120-127 (7)

Conference

22Nd Ieee International Conference on Machine Learning and Applications, Icmla 2023, Date: 15 December 2023 through 17 December 2023, Location: Jacksonville

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Scopus^®

Dblp^®/en/publications/view/1058771

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Google Scholar^®

Metadata
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Publication Identifiers

DOI: 10.1109/icmla58977.2023.00025

Dblp: conf/icmla/DuarteO23

Scopus: 2-s2.0-85190152714

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Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple In-Batch Negatives Loss

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Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple In-Batch Negatives Loss

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