Exploring neural question generation for formal pragmatics: Data set and model evaluation

We provide the first openly-available German QUestion-Answer Congruence Corpus (QUACC), designed for the task of sentence-based question generation with question-answer congruence. Based on this corpus, we establish suitable baselines for question generation, comparing systems of very different natu...

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Detalles Bibliográficos
Autores principales: De Kuthy, Kordula, Kannan, Madeeswaran, Santhi Ponnusamy, Haemanth, Meurers, Detmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661521/
https://www.ncbi.nlm.nih.gov/pubmed/36388400
http://dx.doi.org/10.3389/frai.2022.966013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661521/
https://www.ncbi.nlm.nih.gov/pubmed/36388400
http://dx.doi.org/10.3389/frai.2022.966013

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