Question classification of CoQa (QCOC) dataset

• Main Authors: Abbas Saliimi, Lokman, Mohamed Ariff, Ameedeen, Ngahzaifa, Ab. Ghani
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2021
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/33107/1/Question%20classification%20of%20coqa_FULL.pdf; http://umpir.ump.edu.my/id/eprint/33107/2/Question%20classification%20of%20coqa.pdf; http://umpir.ump.edu.my/id/eprint/33107/; http://10.1109/ICSECS52883.2021.00123
• Institution: Universiti Malaysia Pahang

This paper proposes a new dataset for question classification process. Named QCoC (Question Classification of CoQA), this dataset is created based on Stanford’s CoQA (A Conversational Question Answering Challenge) dataset. The total of QCoC datapoint is 116630 (total of combined questionanswer pairs...