CACHING OF DEEP STRUCTURES FOR EFFICIENT PARSING

Patent №

US 9,507,767

Granted

2016-11-29

Filed 2016

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14992168

A parsing method and system. The method includes generating an n-gram model of a domain and computing a tf-idf frequency associated with n-grams of the n-gram model. A list including a frequently occurring group of n-grams based on the tf-idf frequency is generated. The frequently occurring group of n-grams is transmitted to a deep parser component and a deep parse output from the deep parser component is generated. The deep parse output is stored within a cache and a processor verifies if a specified text word sequence of the deep parse output is available in the cache.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 40/205G06F 16/172G06F 16/2246G06F 16/245G06F 16/24552G06F 16/31G06F 16/319G06F 40/216

AI classification

Natural language1.00
AI hardware0.99
Knowledge representation0.91
Planning0.80
Machine learning0.69
Vision0.07
Speech0.04
Evolutionary computation0.01

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 374500561

Assignors

BOUDREAU, MICHAEL, MOORE, BRAD, MOUSAAD, AHMED

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

From the same owner

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