Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments

Understand

Text-based simulated environments have proven to be a valid testbed for machine learning approaches.

• The process of affordance extraction can be used to generate possible actions for interaction within such an environment.
• In this paper the capabilities and challenges for utilizing external knowledge databases (in particular ConceptNet) in the process of affordance extraction are studied.
• An algorithm for automated affordance extraction is introduced and evaluated on the Interactive Fiction (IF) platforms TextWorld and Jericho.