A dynamic goal adapted task oriented dialogue agent

Task-oriented Dialogue Agent Architecture

AbstrAct: This paper focuses our agent-based approach to dialogue management equipped with a deliberation mechanism further extensible with additional features. The aim of this study has been to create a manager which can exhibit complex behaviour from two points of view – the development and runtime ones. To support the first case, the domain developer needs to provide a set of plans which tel...

A Goal Oriented Model Of Human Dialogue

Modeling Task-Oriented Dialogue

A common tool for improving the performance quality of natural language processing systems is the use of contextual information for disambiguation. Here I describe the use of a finite state machine (FSM) to disambiguate speech acts in a machine translation system. The FSM has two layers that model, respectively, the global and local structures found in naturally-occurring conversations. The FSM...

Task Completion Platform: A self-serve multi-domain goal oriented dialogue platform

We demonstrate the Task Completion Platform (TCP); a multi-domain, multi-turn dialogue platform that can host and execute large numbers of goal-orientated dialogue tasks. The platform features a task configuration language, Task Form, that allows the definition of each individual task to be decoupled from the overarching dialogue policy used by the platform to complete those tasks. This separat...

Building Effective Goal-Oriented Dialogue Agents

Recent progress has seen an explosion in dialog systems, including voice-activated bots, text-based chatbots, and email-based bots for scheduling meetings. However real life interaction with these so-called intelligent agents consistently fall short of expectations. Consequently, this project deploys neural-based bots and rule-based bots across a wide variety of tasks in order to analyze where ...