Question Answering with Texts and Tables through Deep Reinforcement Learning

Marcos M. José, Flávio N. Cação, Maria F. Ribeiro +3

This paper proposes a novel architecture to generate multi-hop answers to open domain questions that require information from texts and tables, using the Open Table-and-Text Questi…