METHOD AND SYSTEM FOR EXTRACTING INFORMATION FROM UNSTRUCTURED TEXT USING SYMBOLIC MACHINE LEARNING
First Claim
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1. A method of extracting information from text, said method comprising:
- parsing an input sample of text to form a parse tree; and
receiving user inputs to define a machine-labeled learning pattern from said parse tree.
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Abstract
A method (and structure) of extracting information from text, includes parsing an input sample of text to form a parse tree and using user inputs to define a machine-labeled learning pattern from the parse tree.
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Citations
19 Claims
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1. A method of extracting information from text, said method comprising:
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parsing an input sample of text to form a parse tree; and receiving user inputs to define a machine-labeled learning pattern from said parse tree. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An apparatus for relational learning, said apparatus comprising:
a generator for developing a precedence inclusion (PI) pattern of a learning sample, wherein elements in said learning sample are machine-labeled to define a precedence relation and an inclusion relation. - View Dependent Claims (14, 15, 16)
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17. A signal-bearing medium tangibly embodying a program of machine-readable instructions executable by a digital processing apparatus to perform a method of relational learning, said machine-readable instructions comprising:
a precedence inclusion (PI) pattern learning module for generating a PI pattern of a learning sample wherein elements in said learning sample are machine-labeled to define a precedence relation and an inclusion relation. - View Dependent Claims (18, 19)
Specification