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Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts ...
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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. ... : Presented at The Ninth Advances in Cognitive Systems (ACS) Conference 2021 (arXiv:2201.06134) ...
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Keyword:
Artificial Intelligence cs.AI; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2202.01040 https://dx.doi.org/10.48550/arxiv.2202.01040
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Bootstrapping Morphological Analyzers by Combining Human Elicitation and Machine Learning ...
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Bootstrapping Morphological Analyzers by Combining Human Elicitation and Machine Learning ...
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From Submit to Submitted via Submission: On Lexical Rules in Large-Scale Lexicon Acquisition ...
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