OntoAgents Gauge Their Confidence In Language Understanding

Abstract

This paper details how OntoAgents, language-endowed intelligent agents developed in the OntoAgent framework, assess their confidence in understanding language inputs. It presents scoring heuristics for the following subtasks of natural language understanding: lexical disambiguation and the establishment of semantic dependencies; reference resolution; nominal compounding; the treatment of fragments; and the interpretation of indirect speech acts. The scoring of confidence in individual linguistic subtasks is a prerequisite for computing the overall confidence in the understanding of an utterance. This, in turn, is a prerequisite for the agent’s deciding how to act upon that level of understanding.

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Cite this paper

@inproceedings{McShane2015OntoAgentsGT, title={OntoAgents Gauge Their Confidence In Language Understanding}, author={Marjorie McShane and Sergei Nirenburg}, year={2015} }