The Second Conversational Intelligence Challenge (ConvAI2)
About
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).
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W Black, Alexander Rudnicky, Jason Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston• 2019
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Dialogue Generation | PERSONA-CHAT original (dev) | Hits@117.3 | 13 | |
| Dialogue Generation | PERSONA-CHAT Revised (dev) | Hits@116.3 | 11 | |
| Dialogue Policy Evaluation | PersonaChat (test) | USR RET87.9 | 10 | |
| Persona-based Dialogue | ConvAI2 (test) | Hits@155.1 | 10 | |
| Dialogue Policy Evaluation | Empathetic Dialogues (test) | USR MLM0.644 | 8 | |
| Dialogue Policy Evaluation | DailyDialog (test) | USR MLM8 | 8 | |
| Dialogue Generation | PERSONA-CHAT original (dev) | Category 1 Score26.3 | 3 | |
| Dialogue Response Generation | ConvAI2 (val) | F1 Score19.09 | 3 |
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