Difference between revisions of "Vulcan/PrototypeToWorking"
From Knowitall
(→Switching to using actual evidence) |
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* How to weight the rules? | * How to weight the rules? | ||
− | == Propositions | + | == Propositions == |
+ | * Extract best proposition. | ||
+ | |||
+ | == Textual Evidence Finder == | ||
+ | * Take output from TEF and convert it into a single MLN inference rule. |
Revision as of 06:20, 6 September 2013
Actual evidence
- Open IE tuples
- We need nested tuples. Open IE 4.0 handles n-ary but not nesting. [Michael will add post-processing to output nested tuples]
- Convert Open IE tuples into Tuffy's MLN axiom format.
- Decide on stemming, head word extraction and other normalization to apply.
- Import into postgres db.
- WordNet
- Convert WordNet RDF triples into Tuffy's MLN format.
- Import into postgres db.
- Compound Noun Categorizer (CNC) [Stopgap arrangement until Postgres external procedure is figured out.]
- Process arguments (phrases) in propositions and study guide through CNC.
- Extract relations that denote containment (e.g., "composed of")
- Import into postgres db.
- Figure out external procedures.
- Will do this early next week.
Rules
- Examples provide a starting point.
- Need to write a converter that translates human readable rules into MLN format.
- How to weight the rules?
Propositions
- Extract best proposition.
Textual Evidence Finder
- Take output from TEF and convert it into a single MLN inference rule.