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few-shot learning

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DataFunTalk
DataFunTalk
Dec 30, 2020 · Artificial Intelligence

Meta-Dialog System: Using Meta-Learning for Fast Adaptation and Robustness in Task-Oriented Conversational AI

This article presents a meta‑learning based end‑to‑end task‑oriented dialogue system that quickly adapts to new scenarios with limited data and improves robustness through a human‑machine collaboration decision module, validated on extended‑bAbI benchmarks and real‑world Alibaba Cloud customer‑service applications.

Human-Machine CollaborationMAMLdialogue system
0 likes · 15 min read
Meta-Dialog System: Using Meta-Learning for Fast Adaptation and Robustness in Task-Oriented Conversational AI
DataFunTalk
DataFunTalk
Sep 19, 2019 · Artificial Intelligence

Alibaba Cloud Xiaomai Dialogue System: Architecture, NLU, Dialogue Management, and User Simulator

This article presents Alibaba's Xiaomai intelligent dialogue platform, detailing its general system architecture, three-tier NLU approaches for zero‑, few‑, and many‑shot scenarios, platform‑centric dialogue management with TaskFlow, robustness and continuous learning mechanisms, and a user simulator for large‑scale data generation and dialogue diagnosis.

Natural Language Understandingdialogue systemfew-shot learning
0 likes · 13 min read
Alibaba Cloud Xiaomai Dialogue System: Architecture, NLU, Dialogue Management, and User Simulator