Answer sequence discovery and generation
AssigneeInternational Business Machines Corporation
InventorsKevin S. Barker, Thomas J. Eggebraaten, Mark G. Megerian, John E. Petri
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AssigneeInternational Business Machines Corporation
InventorsKevin S. Barker, Thomas J. Eggebraaten, Mark G. Megerian, John E. Petri
Estimating the term…
Aspects of the present disclosure are directed toward discovering and generating answer sequences. Aspects are directed toward parsing, by a natural language processing technique configured to analyze syntactic and semantic content, a corpus of data for a subject matter. Aspects are also directed toward detecting a first set of answers including a first answer corresponding to a first answer category and a second set of answers including a second answer corresponding to a second answer category. Both the first and the second answer categories may relate to the subject matter. Aspects are also directed toward identifying a first set of ordering data for the first set of answers and the second set of answers. Aspects are also directed toward determining a first answer sequence corresponding to an order of the first set of answers and the second set of answers.
A method for treating a human patient having a particular disease, the method comprising:
A computer program product for treating a human patient having a particular disease, the computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a processor, causes the processor to perform a method comprising:
A computer system for treating a human patient having a particular disease, the computer system comprising:
Dependencies are inferred from the claim text.