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End-to-end dialogue structure parsing on multi-floor dialogue based on multi-task learning

A multi-floor dialogue consists of multiple sets of dialogue participants, each conversing within their own floor. In the multi-floor dialogue, at least one multi-communicating member who is a participant of multiple floors and coordinates each to achieve a shared dialogue goal. The structure of suc...

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Detalles Bibliográficos
Autores principales: Kawano, Seiya, Yoshino, Koichiro, Traum, David, Nakamura, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188960/
https://www.ncbi.nlm.nih.gov/pubmed/37207047
http://dx.doi.org/10.3389/frobt.2023.949600