Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models

Mehmet Selman Baysan*, Furkan Kızılay, Haluk Harun Gündoğan, Ayşe İrem Özmen, Gökhan İnce

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Electronic Data Interchange (EDI) integration is crucial as it streamlines electronic data exchange between companies, enhancing efficiency and accuracy in business processes. This research aims to generate the corresponding target EDI format for given input data in a manner akin to the machine translation problem. The study explores various sequence-to-sequence models and encoder-decoder architectures to identify the most effective outcomes. The impact of these encoder-decoder and data input-output representation techniques on EDI integration is investigated using crowd-sourced datasets. The effectiveness of the proposed approach is demonstrated using different performance evaluation metrics. The findings revealed that using a Multi-Layer Seq2Seq model achieves an accuracy score of 90.21%, BLEU Score of 83.36% and ROUGE-L score of 88.5%, for enhancing EDI integration processes in businesses.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages158-166
Number of pages9
ISBN (Print)9783031700170
DOIs
Publication statusPublished - 2024
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey
Duration: 16 Jul 202418 Jul 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1088 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024
Country/TerritoryTurkey
CityCanakkale
Period16/07/2418/07/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Artificial Intelligence
  • EDI Integration
  • Natural Language Processing

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