This package contains a collection of curated facts in the form of tables used by the Aristo Question-Answering System, collected using a mixture of manual and semi-automated techniques.
Produced at AI2 as part of intern Ben Hixon's project on Conversational Dialog Questions, dialog traces, and extractions from KnowBot, an experimental dialog system that learns about its domain from conversational dialogs with the user.
This work explores the use of Markov Logic Networks (MLNs) for answering elementary-level natural language science questions. The dataset contains the MLNs generated from three different formulations along with a README describing the format. Also see "Markov Logic Networks for Natural Language Question Answering" (StarAI '15) for a description of the formulations.