Affordance Extraction with an External Knowledge Database for Text-Based
Simulated Environments
- URL: http://arxiv.org/abs/2207.00265v1
- Date: Fri, 1 Jul 2022 08:39:18 GMT
- Title: Affordance Extraction with an External Knowledge Database for Text-Based
Simulated Environments
- Authors: P. Gelhausen, M. Fischer, G. Peters
- Abstract summary: The process of affordance extraction can be used to generate possible actions for interaction within a text-based simulated environment.
An algorithm for automated affordance extraction is introduced and evaluated on the Interactive Fiction platforms TextWorld and Jericho.
The paper concludes with recommendations for further modification and improvement of the process.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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. For
this purpose, the collected affordances are translated into text commands for
IF agents. To probe the quality of the automated evaluation process, an
additional human baseline study is conducted. The paper illustrates that,
despite some challenges, external databases can in principle be used for
affordance extraction. The paper concludes with recommendations for further
modification and improvement of the process.
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