Difference between revisions of "Vulcan/SystemTarget"
From Knowitall
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== Method == | == Method == | ||
| + | <pre> | ||
| + | 1. Hand generate the set of rules and axioms in a human-readable format. Convert this into the Tuffy MLN format. | ||
| + | 2. | ||
| + | </pre> | ||
== System Components == | == System Components == | ||
Revision as of 03:47, 22 August 2013
This page describes the features in the first implementation of the system.
I/O
- Input
- Natural language sentences as input.
- The system will handle propositions that correspond to three questions.
- X is the best conductor of electricity. X = {Iron nail, wax crayon, plastic cup, rubber boat}
- X causes leaves of a plant to become larger. X = {Growth, A repair, Germination, Decomposition}
- X helps a fox find food. X = {A sense of smell, ...}
- Output
- Marginal inference probability for each proposition according to Tuffy.
- Set of rules and axioms used (human-readable and MLN format). Note this is going to be hand generated in this iteration.
- Debugging output that shows the set of axioms, rules and new facts used in the inference.
Method
1. Hand generate the set of rules and axioms in a human-readable format. Convert this into the Tuffy MLN format. 2.
