Conversational control interface to facilitate situational understanding in a city surveillance setting

Harborne, Daniel, Braines, David, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Rzepka, Rafal 2018. Conversational control interface to facilitate situational understanding in a city surveillance setting. Presented at: The fourth Linguistic and Cognitive Approaches to Dialog Agents Workshop (LACATODA 2018), Stockholm, Sweden, 13 Jul 2018.

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Abstract

In this paper we explore the use of a conversational interface to query a decision support system pro- viding information relating to a city surveillance setting. Specifically, we focus on how the use of a Controlled Natural Language (CNL) can provide a method for processing natural language queries whilst also tracking the context of the conversation with relation to past utterances. Ultimately, we pro- pose our conversational approach leads to a versa- tile tool for providing decision support with a low enough learning curve such that untrained users can operate it either within a central command location or when operating within the field (at the tactical edge). The key contribution of this paper is an il- lustration of applied concepts of CNLs as well as furthering the art of conversational context tracking whilst using such a technique. Keywords: Natural Language Processing (NLP), Conversational Systems, Situational Understanding

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Completion
Status:	Unpublished
Schools:	Schools > Computer Science & Informatics
Subjects:	T Technology > T Technology (General)
Date of First Compliant Deposit:	17 July 2018
Last Modified:	23 Oct 2022 14:14
URI:	https://orca.cardiff.ac.uk/id/eprint/113152

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