Method and a system for semantic relation extraction
First Claim
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1. A method for semantic relation extraction comprising:
- extracting directly on the basis of an annotated training corpus having tokens with associated relational labels each indicating a relation between the respective token and a selectable key entity semantic relation between said key entity and other entities from unstructured text using a probabilistic extraction model.
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Abstract
The invention provides a method for semantic relation extraction, wherein on the basis of an annotated training corpus having tokens with associated relational labels each indicating a relation between the respective token and a selectable key entity semantic relation between said key entity and other entities are directly extracted from unstructured text using a probabilistic extraction model.
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Citations
20 Claims
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1. A method for semantic relation extraction comprising:
- extracting directly on the basis of an annotated training corpus having tokens with associated relational labels each indicating a relation between the respective token and a selectable key entity semantic relation between said key entity and other entities from unstructured text using a probabilistic extraction model.
- View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A semantic relation extraction system comprising:
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(a) means for storing unstructured text; (b) means for storing an annotated training corpus having tokens with associated relational labels each indicating a relation between the respective token and a selectable key entity; and (c) means for extracting semantic relations between the key entity and other entities from said unstructured text on the basis of said training corpus using a probabilistic extraction model. - View Dependent Claims (20)
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Specification