A Framework for Automatic Generation of Spoken Question-Answering Data
Published in Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
A framework to automatically generate question-answering for Spoken Question Answering task.
Recommended citation: Ünlü, Merve, Ebru Arısoy and Murat Saraçlar. (2019). "A Question Answering System for Spoken Lectures in Turkish" SIU (2019) https://aclanthology.org/2022.findings-emnlp.342.pdf