会话信息检索的最新进展

Jianfeng Gao, Chenyan Xiong, Paul N. Bennett
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引用次数: 14

摘要

深度学习的最新进展为会话人工智能带来了巨大的进步,导致了大量的商业会话服务,这些服务允许自然的语音交互,从而增加了对IR中更多以人为中心的交互的需求。因此,我们目睹了在研究界和工业界对开发现代CIR系统的兴趣重新抬头。本教程介绍了CIR的最新进展,主要集中在过去五年中开发的神经方法和新应用。我们的目标是对CIR的一般定义、CIR系统的组件、为其会话方面提出的新应用以及最近为其开发的(神经)技术提供全面而深入的概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Advances in Conversational Information Retrieval
Recent progress in deep learning has brought tremendous improvements in conversational AI, leading to a plethora of commercial conversational services that allow naturally spoken interactions, increasing the need for more human-centric interactions in IR. As a result, we have witnessed a resurgent interest in developing modern CIR systems in research communities and industry. This tutorial presents recent advances in CIR, focusing mainly on neural approaches and new applications developed in the past five years. Our goal is to provide a thorough and in-depth overview of the general definition of CIR, the components of CIR systems, new applications raised for its conversational aspects, and the (neural) techniques recently developed for it.
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