Language Generation for Broad-Coverage, Explainable Cognitive Systems

• URL: http://arxiv.org/abs/2201.10422v1
• Date: Tue, 25 Jan 2022 16:09:19 GMT
• Title: Language Generation for Broad-Coverage, Explainable Cognitive Systems
• Authors: Marjorie McShane and Ivan Leon
• Abstract summary: This paper describes recent progress on natural language generation for language-endowed intelligent agents (LEIAs) developed within the OntoAgent cognitive architecture. It uses the same knowledge bases, theory of computational linguistics, agent architecture, and methodology of developing broad-coverage capabilities over time while still supporting near-term applications.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper describes recent progress on natural language generation (NLG) for language-endowed intelligent agents (LEIAs) developed within the OntoAgent cognitive architecture. The approach draws heavily from past work on natural language understanding in this paradigm: it uses the same knowledge bases, theory of computational linguistics, agent architecture, and methodology of developing broad-coverage capabilities over time while still supporting near-term applications.

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