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المؤلفAejas, Bajeela
المؤلفBouras, Abdelaziz
المؤلفBelhi, Abdelhak
المؤلفGasmi, Houssem
تاريخ الإتاحة2023-04-09T08:34:46Z
تاريخ النشر2022
اسم المنشورIFIP Advances in Information and Communication Technology
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1007/978-3-030-94335-6_21
معرّف المصادر الموحدhttp://hdl.handle.net/10576/41708
الملخصThe distribution and immutability properties of blockchains made it possible to use them in various fields, such as Supply Chain, finance and health. The automation of the creation and execution of transactions in a blockchain in a decentralized and transparent manner is realized through Smart Contracts programming codes. This paper presents the implementation of Smart Contracts in specific manufacturing Supply Chains and discusses their life cycle and impact on the Supply Chain management. The presented application deals with the possibility of transforming natural language contracts of a given Supply Chain to automated Smart Contracts that makes the Supply Chain management faster and safer. A first solution is proposed based on Bidirectional Encoder Representations from Transformers (BERT) model and limited to the implementation of Smart Contracts of the Supply Chain legal contracts. Also described here is the ways of extracting contract elements from legal contracts by applying the BERT Deep Learning method on annotated contract dataset of a corpus of 13000 annotations over 510 contracts. 2022, IFIP International Federation for Information Processing.
راعي المشروعAcknowledgement. This research is part of the National Priority Research Program (NPRP) research project: NPRP11S-1227-170135, funded by the Qatar National Research Fund (QNRF).
اللغةen
الناشرSpringer Science and Business Media Deutschland GmbH
الموضوعBERT
Blockchain
NLP
Smart Contract
Supply chain
العنوانSmart Contracts Implementation Based on Bidirectional Encoder Representations from Transformers
النوعConference Paper
الصفحات293-304
رقم المجلد639 IFIP
dc.accessType Abstract Only


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