Agent对话:对话信息寻求实验平台

A. Czyzewski, Jeffrey Dalton, A. Leuski
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引用次数: 4

摘要

会话信息搜索(CIS)是信息检索的一个新兴领域,主要关注交互式搜索系统。因此,需要新的基准数据集和工具来创建它们。在这个演示中,我们展示了Agent Dialogue (AD)平台,这是一个为研究人员开发的开源系统,用于执行Wizard-of-Oz CIS实验。AD是一个可扩展的云原生平台,由Docker和Kubernetes开发,具有灵活和模块化的微服务架构,构建在生产级最先进的开源工具(Kubernetes, gRPC streaming, React和Firebase)上。它支持各种前端,并且能够与多个现有代理系统(包括Google Assistant和开源搜索库)进行交互。它包括对集中式结构日志记录以及脱机相关注释的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agent Dialogue: A Platform for Conversational Information Seeking Experimentation
Conversational Information Seeking (CIS) is an emerging area of Information Retrieval focused on interactive search systems. As a result there is a need for new benchmark datasets and tools to enable their creation. In this demo we present the Agent Dialogue (AD) platform, an open-source system developed for researchers to perform Wizard-of-Oz CIS experiments. AD is a scalable cloud-native platform developed with Docker and Kubernetes with a flexible and modular micro-service architecture built on production-grade state-of-the-art open-source tools (Kubernetes, gRPC streaming, React, and Firebase). It supports varied front-ends and has the ability to interface with multiple existing agent systems, including Google Assistant and open-source search libraries. It includes support for centralized structure logging as well as offline relevance annotation.
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