Ioannis Papaioannou
An ensemble model with ranking for social dialogue
Papaioannou, Ioannis; Curry, Amanda Cercas; Part, Jose L; Shalyminov, Igor; Xu, Xinnuo; Yu, Yanchao; Dušek, Ondřej; Rieser, Verena; Lemon, Oliver
Authors
Amanda Cercas Curry
Jose L Part
Igor Shalyminov
Xinnuo Xu
Dr Yanchao Yu Y.Yu@napier.ac.uk
Lecturer
Ondřej Dušek
Verena Rieser
Oliver Lemon
Abstract
Open-domain social dialogue is one of the long-standing goals of Artificial Intelligence. This year, the Amazon Alexa Prize challenge was announced for the first time, where real customers get to rate systems developed by leading universities worldwide. The aim of the challenge is to converse “coherently and engagingly with humans on popular topics for 20 minutes”. We describe our Alexa Prize system (called ‘Alana’) consisting of an ensemble of bots, combining rule-based and machine learning systems, and using a contextual ranking mechanism to choose a system response. The ranker was trained on real user feedback received during the competition, where we address the problem of how to train on the noisy and sparse feedback obtained during the competition.
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | NIPS 2017 Conversational AI Workshop |
Start Date | Dec 8, 2017 |
Deposit Date | Jun 28, 2023 |
Related Public URLs | https://doi.org/10.48550/arXiv.1712.07558 |
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