🧠🤖 common_sense_for_robots

Supplemental material for the paper "Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots"

Contents

• action_patterns_ground_truth.json - ground truth for action patterns
• prompts.py - prompts used for extractings parts of action patterns and entire ones from LLMs
• action_pattern_ontology_creation.py - minimal script for setting up a TBox for action patterns and populating it with action patterns, e.g., extracted from LLMs
• action_patterns_example.json - example input for the ontology creation

Citation

For scientific use, please cite as follows:

@inproceedings{ocker2023commonsense,
    author = {Ocker, Felix and Deigmöller, Jörg and Eggert, Julian},
    booktitle = {ISWC 2023 Posters and Demos: 22nd International Semantic Web Conference},
    title = {Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots},
    year = {2023},
    publisher={CEUR-WS}
}