SEMANTIC PROCESSOR FOR RECOGNITION OF WHOLE-PART RELATIONS IN NATURAL LANGUAGE DOCUMENTS
First Claim
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1. A method for automatically recognizing Whole-Part relations in natural language documents, the method comprising:
- providing text from at least one natural language document;
recognizing one or more expanded Subject-Action-Object (eSAO) sets in the text, wherein each eSAO set has one or more eSAO components;
matching the one or more eSAO sets against Whole-Part relationship patterns; and
generating one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO.
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Abstract
A semantic processor and method for automatically recognizing Whole-Part relations in at least one natural language electronic or digital document recognizes one or more expanded Subject-Action-Object (eSAO) sets in text, wherein each eSAO set has one or more eSAO components; matches the one or more eSAO sets against Whole-Part relationship patterns, and generates one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO.
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Citations
24 Claims
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1. A method for automatically recognizing Whole-Part relations in natural language documents, the method comprising:
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providing text from at least one natural language document;
recognizing one or more expanded Subject-Action-Object (eSAO) sets in the text, wherein each eSAO set has one or more eSAO components;
matching the one or more eSAO sets against Whole-Part relationship patterns; and
generating one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for generating a Whole-Part knowledge base by automatically recognizing Whole-Part relations in natural language documents, the method comprising:
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providing text from at least one natural language document;
recognizing one or more expanded Subject-Action-Object (eSAO) sets in the text, wherein each eSAO set has one or more eSAO components;
matching the one or more eSAO sets against Whole-Part relationship patterns;
generating one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO;
and storing the one or more eSAO Whole-Part relations in the Whole-Part knowledge base.
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13. A computer program product comprising a computer-readable medium having computer-executable instructions for performing a method for recognizing Whole-Part relations in natural language documents, the method comprising:
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providing text from at least one natural language document;
recognizing one or more expanded Subject-Action-Object (eSAO) sets in the text, wherein each eSAO set has one or more eSAO components;
matching the one or more eSAO sets against Whole-Part relationship patterns; and
generating one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO. - View Dependent Claims (14)
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15. A semantic processor for automatically recognizing Whole-Part relations in text in electronic or digital form, the semantic processor comprising:
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a linguistic knowledge base; and
a semantic analyzer comprising;
an expanded subject-action-object (eSAO) recognizer for producing one or more eSAO sets based on the text, wherein the eSAO sets are based on eSAO definitions stored in the linguistic knowledge base; and
a Whole-Part recognizer configured to match the one or more eSAO sets with known Whole-Part relationship patterns stored in the linguistic knowledge base and to produce one or more eSAO Whole-Part relations based on the match. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification