Research on Effective Information Extraction Techniques for Multi-Round Dialogues of Large-Scale Models in Deep Learning Environment

Publié en ligne: 27 nov. 2024

Reçu: 21 juin 2024

Accepté: 14 oct. 2024

DOI: https://doi.org/10.2478/amns-2024-3569

Mots clés

<kwd>Transformer framework</kwd>, <kwd>BERT</kwd>, <kwd>BiLSTM model</kwd>, <kwd>Conditional random field</kwd>, <kwd>Multi-round dialogue</kwd>, <kwd>Information extraction.</kwd>

© 2024 Hao Hu et al., published by Sciendo

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