8 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 6 cited
Process-To-Text: A Framework for the Quantitative Description of Processes in Natural Language
Yago Fontenla-Seco, Alberto Bugarín-Diz, Manuel Lama
In this paper we present the Process-To-Text (P2T) framework for the automatic generation of textual descriptive explanations of processes. P2T integrates three AI paradigms: proce…
cs.CL2023★ 8 cited
Fuzzy Temporal Protoforms for the Quantitative Description of Processes in Natural Language
Yago Fontenla-Seco, Alberto Bugarín-Diz, Manuel Lama
In this paper, we propose a series of fuzzy temporal protoforms in the framework of the automatic generation of quantitative and qualitative natural language descriptions of proces…