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Sounding Board: A User-Centric and Content-Driven Social Chatbot

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TLDR
Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize, consists of several components including spoken language processing, dialogue management, language generation, and content management with emphasis on user-centric and content-driven design as discussed by the authors.
Abstract
We present Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize. The system architecture consists of several components including spoken language processing, dialogue management, language generation, and content management, with emphasis on user-centric and content-driven design. We also share insights gained from large-scale online logs based on 160,000 conversations with real-world users.

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The Design and Implementation of XiaoIce, an Empathetic Social Chatbot

TL;DR: XiaoIce as mentioned in this paper is the most popular social chatbot in the world and is designed as an artifical intelligence companion with an emotional con to the chatbot.
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Challenges in Building Intelligent Open-domain Dialog Systems

TL;DR: This article reviews the recent work on neural approaches that are devoted to addressing three challenges in developing intelligent open-domain dialog systems: semantics, consistency, and interactiveness.
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The Design and Implementation of XiaoIce, an Empathetic Social Chatbot

TL;DR: This article describes the development of Microsoft XiaoIce, the most popular social chatbot in the world, and shows how XiaoIce dynamically recognizes human feelings and states, understands user intent, and responds to user needs throughout long conversations.
Proceedings ArticleDOI

Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs

TL;DR: ConceptFlow as mentioned in this paper presents a new conversation generation model, ConceptFlow, which leverages commonsense knowledge graphs to explicitly model conversation flows and represents the potential conversation flow as traverses in the concept space along commonsense relations.
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Target-Guided Open-Domain Conversation

TL;DR: This article proposed a structured approach that introduces coarse-grained keywords to control the intended content of system responses, and then attain smooth conversation transition through turn-level supervised learning, and drive the conversation towards the target with discourse-level constraints.
References
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Proceedings Article

A Knowledge-Grounded Neural Conversation Model

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