Underwater Robotics Semantic Parser Assistant
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Abstract (arXiv)
Semantic parsing is a means of taking natural language and putting it in a form that a computer can understand. There has been a multitude of approaches that take natural language utterances and form them into lambda calculus expressions -- mathematical functions to describe logic. Here, we experiment with a sequence to sequence model to take natural language utterances, convert those to lambda calculus expressions, when can then be parsed, and place them in an XML format that can be used by a finite state machine. Experimental results show that we can have a high accuracy model such that we can bridge the gap between technical and nontechnical individuals in the robotics field.
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References · 6
- 2016Language to Logical Form with Neural Attentioncited by 158
- 2019A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualizationcited by 88
- 2014Grammar as a Foreign Languagecited by 70
- 2019Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Studycited by 40
- 2020An Imitation Game for Learning Semantic Parsers from User Interactioncited by 23
- 2019Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robotscited by 4
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