Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Semantic and pragmatic precision in conversational AI systems
por: Bunt, Harry, et al.
Publicado: (2023) -
On solving textual ambiguities and semantic vagueness in MRC based question answering using generative pre-trained transformers
por: Ahmed, Muzamil, et al.
Publicado: (2023) -
Educational Automatic Question Generation Improves Reading Comprehension in Non-native Speakers: A Learner-Centric Case Study
por: Steuer, Tim, et al.
Publicado: (2022) -
Nanopublication-based semantic publishing and reviewing: a field study with formalization papers
por: Bucur, Cristina-Iulia, et al.
Publicado: (2023) -
Unanswerable Questions About Images and Texts
por: Davis, Ernest
Publicado: (2020)