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...
Main Authors: | Kordula De Kuthy, Madeeswaran Kannan, Haemanth Santhi Ponnusamy, Detmar Meurers |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-10-01
|
Series: | Frontiers in Artificial Intelligence |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2022.966013/full |
Similar Items
-
Arabic Question Answering Systems: Gap Analysis
by: Mariam M. Biltawi, et al.
Published: (2021-01-01) -
Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres
by: Chaïm van Toledo, et al.
Published: (2022-10-01) -
Standard refrigeration and air conditioning : questions and answers/
by: 247465 Elonka, Stephen Michael, et al.
Published: (1973) -
The Information-Structural Status of Adjuncts: A Question-under-Discussion-Based Approach
by: Lisa Brunetti, et al.
Published: (2021-10-01) -
Advancements in Complex Knowledge Graph Question Answering: A Survey
by: Yiqing Song, et al.
Published: (2023-10-01)