Alexa Prize - State of the Art in Conversational AI
Alexa Prize - State of the Art in Conversational AI
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Alexa 奖 - 对话式人工智能的最新技术
DOI：
10.1609/aimag.v39i3.2810
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
R. Prasad
中科院分区：
文献类型：
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作者：
Chandra Khatri;Anu Venkatesh;Behnam Hedayatnia;Raefer Gabriel;A. Ram;R. Prasad
为了推动对话式人工智能的发展，亚马逊推出了 Alexa 奖，这是一项奖金 250 万美元的竞赛，挑战大学团队构建对话代理或“社交机器人”，能够与人类就热门话题进行连贯且引人入胜的对话 20 分钟。 Alexa 奖为学术界提供了一个独特的机会，可以利用与数百万 Alexa 用户互动获得的真实对话数据以及用户在几个月内提供的评分和反馈来进行大规模研究。这使得团队能够在整个比赛过程中有效地迭代、改进和评估他们的社交机器人。去年，有十六支队伍被选拔参加首届比赛。为了构建他们的社交机器人，学生们将最先进的技术与他们自己在自然语言理解和对话人工智能领域的新颖策略相结合。本文报告了 2017-2018 年进行的研究。虽然第一年未能实现 20 分钟的大挑战，但竞赛产生了几个对话代理，它们提高了最先进的水平，对日常用户的交互很有趣，并有助于为第二年的竞赛奠定基础。
To advance the state of the art in conversational AI, Amazon launched the Alexa Prize, a 2.5 million dollar competition that challenges university teams to build conversational agents, or "socialbots", that can converse coherently and engagingly with humans on popular topics for 20 minutes. The Alexa Prize offers the academic community a unique opportunity to perform research at scale with real conversational data obtained by interacting with millions of Alexa users, along with user-provided ratings and feedback, over several months. This enables teams to effectively iterate, improve and evaluate their socialbots throughout the competition. Sixteen teams were selected for the inaugural competition last year. To build their socialbots, the students combined state-of-the-art techniques with their own novel strategies in the areas of Natural Language Understanding and Conversational AI. This article reports on the research conducted over the 2017-2018 year. While the 20 minute grand challenge was not achieved in the first year, the competition produced several conversational agents that advanced the state of the art, are interesting for everyday users to interact with, and help form a baseline for the second year of the competition.
DOI：
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发表时间：
2015-06
期刊：
ArXiv
影响因子：
--
作者：
O. Vinyals;Quoc V. Le
通讯作者：
O. Vinyals;Quoc V. Le