PREDICTING LEXICAL ANSWER TYPES IN OPEN DOMAIN QUESTION AND ANSWERING (QA) SYSTEMS

Patent №

US 9,015,031

Granted

2015-04-21

Filed 2012

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

6

ml · nlp · vision · speech · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13552260

In an automated Question Answer (QA) system architecture for automatic open-domain Question Answering, a system, method and computer program product for predicting the Lexical Answer Type (LAT) of a question. The approach is completely unsupervised and is based on a large-scale lexical knowledge base automatically extracted from a Web corpus. This approach for predicting the LAT can be implemented as a specific subtask of a QA process, and/or used for general purpose knowledge acquisition tasks such as frame induction from text.

AI classification

Natural language1.00
Machine learning1.00
Planning1.00
Vision1.00
Speech1.00
Knowledge representation0.99
AI hardware0.07
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 285800028

Assignors

FERRUCCI, DAVID A., GLIOZZO, ALFIO M., KALYANPUR, ADITYA A.

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

From the same owner

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