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

Data publikacji: 27 lis 2024

Otrzymano: 21 cze 2024

Przyjęty: 14 paź 2024

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

Słowa kluczowe

<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

This work is licensed under the Creative Commons Attribution 4.0 International License.