LLMs for Knowledge-Graphs Enhanced Task-Oriented Dialogue Systems: Challenges and Opportunities
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Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61003-5_15
Reference14 articles.
1. Fill, H., Fettke, P., Köpke, J.: Conceptual modeling and large language models: impressions from first experiments with ChatGPT. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 18, 3 (2023). https://doi.org/10.18417/EMISA.18.3
2. Han, J., Collier, N., Buntine, W.L., Shareghi, E.: PiVe: prompting with iterative verification improving graph-based generative capability of LLMs. CoRR abs/2305.12392 (2023). https://doi.org/10.48550/ARXIV.2305.12392
3. Hogan, A., et al.: Knowledge Graphs. Synthesis Lectures on Data, Semantics, and Knowledge. Morgan & Claypool Publishers (2021). https://doi.org/10.2200/S01125ED1V01Y202109DSK022
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5. Iga, V.I., Silaghi, G.C.: Ontology-based dialogue system for domain-specific knowledge acquisition. In: da Silva, A.R., et al. (ed.) ISD2023 Proceedings, Lisbon, Portugal. AIS (2023). https://doi.org/10.62036/ISD.2023.46
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