Formalising Natural Language Quantifiers for Human-Robot Interactions
Stefan Morar, Adrian Groza, Mihai Pomarlan
- Year
- 2023
- Access
- Open access
Abstract
We present a method for formalising quantifiers in natural language in the context of human-robot interactions. The solution is based on first-order logic extended with capabilities to represent the cardinality of variables, operating similarly to generalised quantifiers. To demonstrate the method, we designed an end-to-end system able to receive input as natural language, convert it into a formal logical representation, evaluate it, and return a result or send a command to a simulated robot.
Keywords
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