Agent Dialogue: A Platform for Conversational Information Seeking Experimentation

Czyzewski, A., Dalton, J. and Leuski, A. (2020) Agent Dialogue: A Platform for Conversational Information Seeking Experimentation. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2121-2124. ISBN 9781450380164 (doi:10.1145/3397271.3401397)

Full text not currently available from Enlighten.

Abstract

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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Dalton, Dr Jeff
Authors: Czyzewski, A., Dalton, J., and Leuski, A.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781450380164
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record