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The Second Conversational Intelligence Challenge (ConvAI2)

Authors :
Dinan, Emily
Logacheva, Varvara
Malykh, Valentin
Miller, Alexander
Shuster, Kurt
Urbanek, Jack
Kiela, Douwe
Szlam, Arthur
Serban, Iulian
Lowe, Ryan
Prabhumoye, Shrimai
Black, Alan W
Rudnicky, Alexander
Williams, Jason
Pineau, Joelle
Burtsev, Mikhail
Weston, Jason
Publication Year :
2019

Abstract

We describe the setting and results of the ConvAI2 NeurIPS competition that aims to further the state-of-the-art in open-domain chatbots. Some key takeaways from the competition are: (i) pretrained Transformer variants are currently the best performing models on this task, (ii) but to improve performance on multi-turn conversations with humans, future systems must go beyond single word metrics like perplexity to measure the performance across sequences of utterances (conversations) -- in terms of repetition, consistency and balance of dialogue acts (e.g. how many questions asked vs. answered).

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1902.00098
Document Type :
Working Paper