A Flexible Pragmatics-driven Language Generator for Animated Agents
Paul Piwek
TL;DR
This paper presents the NECA MNLG, a versatile natural language generation system for animated agents that integrates grammar rules, templates, and canned text, guided by syntactic, semantic, and pragmatic constraints.
Contribution
It introduces a flexible, pragmatic-driven language generator that combines multiple generation methods within a unified framework for animated agents.
Findings
Supports seamless integration of grammar, templates, and canned text
Enables specification of syntactic, semantic, and pragmatic constraints
Successfully deployed in the NECA system for animated dialogues
Abstract
This paper describes the NECA MNLG; a fully implemented Multimodal Natural Language Generation module. The MNLG is deployed as part of the NECA system which generates dialogues between animated agents. The generation module supports the seamless integration of full grammar rules, templates and canned text. The generator takes input which allows for the specification of syntactic, semantic and pragmatic constraints on the output.
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Taxonomy
TopicsNatural Language Processing Techniques · Speech and dialogue systems · Multi-Agent Systems and Negotiation