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EAGS: An extracting auxiliary knowledge graph model in multi-turn dialogue generation
Multi-turn dialogue generation is an essential and challenging subtask of text generation in the question answering system. Existing methods focused on extracting latent topic-level relevance or utilizing relevant external background knowledge. However, they are prone to ignore the fact that relying...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523637/ https://www.ncbi.nlm.nih.gov/pubmed/36196376 http://dx.doi.org/10.1007/s11280-022-01100-8 |