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AssigneeInternational Business Machines Corporation
InventorsTimothy A. Bishop, Stephen A. Boxwell, Benjamin L. Brumfield, Stanley J. Vernier
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Mechanisms are provided for implementing a proximity based candidate answer pre-processor engine that outputs a sub-set of candidate answers to a question and answer (QA) system. The mechanisms receive a lexical answer type (LAT) and an entity specified in an input natural language question as well as an ontology data structure representing a corpus of natural language content. The mechanisms identify a set of candidate answers having associated nodes in the ontology data structure that are within a predetermined proximity of a node corresponding to the entity, and a sub-set of candidate answers in the set of candidate answers having an entity type corresponding to the LAT. The mechanisms output, to the QA system, the sub-set of candidate answers as candidate answers to the input natural language question for evaluation and selection of a final answer to the input natural language question.
A method, in a data processing system comprising at least one processor and at least one memory, wherein the at least one memory comprises instructions that are executed by the at least one processor to configure the data processing system to implement a proximity based candidate answer pre-processor engine that outputs a sub-set of candidate answers to a question and answer (QA) system, the method comprising:
A 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 computing device, causes the computing device to implement a proximity based candidate answer pre-processor engine that outputs a sub-set of candidate answers to a question and answer (QA) system at least by:
An apparatus comprising:
Dependencies are inferred from the claim text.