CoQA: A Conversational Question Answering Challenge

• Published in: Transactions of the Association for Computational Linguistics Vol. 7; pp. 249 - 266
• Main Authors: Reddy, Siva, Chen, Danqi, Manning, Christopher D.
• Format: Journal Article
• Language: English
• Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.11.2019; MIT Press Journals, The; The MIT Press
• Subjects: Computational linguistics; Datasets; Free form; Human performance; Pragmatics; Question answer sequences; Questions; Reading comprehension; Secondary schools

Humans gather information through conversations involving a series of interconnected questions and answers. For machines to assist in information gathering, it is therefore essential to enable them to answer conversational questions. We introduce CoQA, a novel dataset for building nversational uesti...