Natural language question answering system and method utilizing multi-modal logic
OwnerDan Moldovan, Marta Tatuinventors
Life of this patent
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Abstract
A multi-modal natural language question answering system and method comprises receiving a question logic form, at least one answer logic form, and utilizing semantic relations, contextual information, and adaptable logic.
Claims41
A method for natural language question answering, comprising:
- receiving a question logic form, at least one answer logic form, and extended lexical information by a first module;
- outputting at least one contextual index to a second module;
- and
- utilizing the contextual index by the second module to provide an answer.
A method for natural language question answering, comprising:
- receiving a question logic form, at least one answer logic form, and extended lexical information by a first module;
- outputting at least one semantic relation to a second module;
- and
- utilizing the semantic relation by the second module to provide an answer.
A method for natural language question answering, comprising:
- receiving a question logic form, at least one answer logic form, and extended lexical information by a first module;
- and
- adapting an inference mechanism and logic to provide an answer.
A method for natural language question answering, comprising:
- receiving a question logic form, at least one answer logic form, and extended lexical information by a first module;
- and
- utilizing multi-modal logic to provide an answer.
A natural language question answering system, comprising;
- a first module configured to receive a question logic form, at least one answer logic form, and extended lexical information;
- and
- a second module responsive to the first module and having a contextual index and configured to output an answer as a function of the question logic form and the contextual index.
A natural language question answering system, comprising;
- a first module configured to receive a question logic form, at least one answer logic form, and extended lexical information;
- and
- a second module responsive to the first module and configured to utilize a semantic relation of the question logic form to output an answer.
A natural language question answering system, comprising;
- a first module configured to receive a question logic form, at least one answer logic form, and extended lexical information;
- and
- a second module responsive to the first module and configured to utilize an inference mechanism and logic to provide an answer.
A natural language question answering system, comprising;
- a first module configured to receive a question logic form, at least one answer logic form, and extended lexical information;
- and
- a second module responsive to the first module and configured to utilize multi-modal logic to provide an answer.
A computer readable medium including instructions for:
- receiving a question logic form, at least one answer logic form, and extended lexical information by a first module;
- outputting at least one contextual index to a second module;
- and
- utilizing the contextual index by the second module to provide an answer.
A computer readable medium including instructions for:
- receiving a question logic form, at least one answer logic form, and extended lexical information by a first module;
- outputting at least one semantic relation to a second module;
- and
- utilizing the semantic relation by the second module to provide an answer.
A computer readable medium including instructions for:
- receiving a question logic form, at least one answer logic form, and extended lexical information by a first module;
- and
- adapting an inference mechanism and logic to provide an answer.
A computer readable medium including instructions for:
- receiving a question logic form, at least one answer logic form, and extended lexical information by a first module;
- and
- utilizing multi-modal logic to provide an answer.
Dependencies are inferred from the claim text.