A Coachable Parser of Natural Language Advice

We present a system for parsing advice offered by a human to a machine. The advice is given in the form of conditional sentences in natural language, and the system generates a logic-based (machine-readable) representation of the advice, as appropriate for use by the machine in a downstream task. The system utilizes a �white-box� knowledge-based translation policy, which can be acquired iteratively in a developmental manner through a coaching process. We showcase this coaching process by demonstrating how linguistic annotations of sentences can be combined, through simple logic-based expressions, to carry out the translation task. � 2024 by SCITEPRESS � Science and Technology Publications, Lda.