Difference between revisions of "Vulcan/TupleRepresentation"
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== Motivation == | == Motivation == | ||
* In designing output for extraction from definition sentences, it is useful to use both nested and n-ary tuples. Here are some examples. | * In designing output for extraction from definition sentences, it is useful to use both nested and n-ary tuples. Here are some examples. | ||
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* For deep understanding and reasoning, we want high coverage of the information in each sentence. Current Open IE often misses much of the information in a given sentence. | * For deep understanding and reasoning, we want high coverage of the information in each sentence. Current Open IE often misses much of the information in a given sentence. | ||
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* We expect inference rules will be easier to express and easier to learn if they operate on nested and n-ary tuples, rather than the sets of binary tuples that are equivalent to the nested or n-ary tuples. | * We expect inference rules will be easier to express and easier to learn if they operate on nested and n-ary tuples, rather than the sets of binary tuples that are equivalent to the nested or n-ary tuples. | ||
− | * The sample Vulcan propositions we are trying to prove are often nested or n-ary. | + | * The sample Vulcan propositions we are trying to prove are often nested or n-ary. |
== Examples of complex nested and n-ary tuples == | == Examples of complex nested and n-ary tuples == |
Revision as of 20:58, 3 September 2013
Motivation
- In designing output for extraction from definition sentences, it is useful to use both nested and n-ary tuples. Here are some examples.
- For deep understanding and reasoning, we want high coverage of the information in each sentence. Current Open IE often misses much of the information in a given sentence.
- The nested and n-ary representation will make inference rules more compact. Without nesting, a single sentence is represented as two separate tuples; without n-ary, a single sentence becomes multiple tuples, some of which don't make much sense on their own.
- We expect inference rules will be easier to express and easier to learn if they operate on nested and n-ary tuples, rather than the sets of binary tuples that are equivalent to the nested or n-ary tuples.
- The sample Vulcan propositions we are trying to prove are often nested or n-ary.
Examples of complex nested and n-ary tuples
1. "A turtle eating worms is an example of taking in nutrients" ((turtle, eat, worms); is; example of (turtle; take in; nutrients)) 2. "Growth causes the leaves of a plant to become larger" (growth; cause; (leaves of plant; become; larger)) 3. "A sense of smell helps a fox find food" (sense of smell; help; (fox; find; food)) 4. "Gravity pulls the marble to the bottom of the glass" (gravity; pull; marble; to bottom of glass) Examples 2 and 3 are nested; 1 has a complex nesting; 4 is n-ary. Example 1 also has sentence internal coreference to get (turtle; take in; nutrients).