Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts

• URL: http://arxiv.org/abs/2202.01040v1
• Date: Wed, 2 Feb 2022 14:05:12 GMT
• Title: Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts
• Authors: Marjorie McShane, Jesse English, Sergei Nirenburg
• Abstract summary: This paper describes principles and practices of knowledge engineering that enable the development of holistic language-endowed intelligent agents. We focus on dialog act modeling, a task that has been widely pursued in linguistics, cognitive modeling, and statistical natural language processing.
• Score: 0.6445605125467572
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper describes principles and practices of knowledge engineering that enable the development of holistic language-endowed intelligent agents that can function across domains and applications, as well as expand their ontological and lexical knowledge through lifelong learning. For illustration, we focus on dialog act modeling, a task that has been widely pursued in linguistics, cognitive modeling, and statistical natural language processing. We describe an integrative approach grounded in the OntoAgent knowledge-centric cognitive architecture and highlight the limitations of past approaches that isolate dialog from other agent functionalities.

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