no code implementations • INLG (ACL) 2021 • Carl Strathearn, Dimitra Gkatzia
Conversational systems aim to generate responses that are accurate, relevant and engaging, either through utilising neural end-to-end models or through slot filling.
no code implementations • 3 Apr 2022 • Carl Strathearn, Dimitra Gkatzia
This paper proposes a novel task on commonsense-enhanced task-based dialogue grounded in documents and describes the Task2Dial dataset, a novel dataset of document-grounded task-based dialogues, where an Information Giver (IG) provides instructions (by consulting a document) to an Information Follower (IF), so that the latter can successfully complete the task.
no code implementations • dialdoc (ACL) 2022 • Carl Strathearn, Dimitra Gkatzia
This paper proposes a novel task on commonsense-enhanced task-based dialogue grounded in documents and describes the Task2Dial dataset, a novel dataset of document-grounded task-based dialogues, where an Information Giver (IG) provides instructions (by consulting a document) to an Information Follower (IF), so that the latter can successfully complete the task.