IDENTIFYING AND PRIORITIZING CANDIDATE ANSWER GAPS WITHIN A CORPUS

Patent №

US 11,042,576

Granted

2021-06-22

Filed 2018

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16212676

Methods and apparatus, including computer program products, implementing and using techniques for identifying candidate answer gaps within a corpus of a question and answer system. An original question posed to the question and answer system is analyzed to identify an object and a semantic type for the question. Concepts having a same or similar semantic type are retrieved from an ontology or dictionary. For at least one retrieved concept, one or more altered questions are created by replacing the object of the original question with a preferred term of the retrieved concept. The one or more altered questions are submitted to the question and answer system. The answers to the altered questions are analyzed to identify gaps within the corpus of the question and answer system.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 16/3329G06F 16/3334G06F 16/36G06F 40/242G06N 5/02G06N 5/041G06N 5/045G06N 20/00+2 more

AI classification

Natural language1.00
Planning1.00
Knowledge representation1.00
Machine learning0.99
AI hardware0.96
Vision0.01
Speech0.01
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 477000777

Assignors

CARRIER, SCOTT R., EZEN CAN, AYSU, BULL, BRENDAN, MANSJUR, DWI SIANTO

On an employer assignment, the assignors are typically the inventors.

From the same owner

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