CONTEXT-AWARE APPROACH TO DETECTION OF SHORT IRRELEVANT TEXTS

Patent №

US 10,037,320

Granted

2018-07-31

Filed 2014

Owner

LINKEDIN CORPORATION

Lab

AI components

6

ml · nlp · vision · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14587650

Systems and methods are disclosed for determining whether a short amount of text is irrelevant. Initially, an article is selected having one or more comments of varying length. Depending on the number of comments available, a native context may be constructed based on a given comment and other neighboring comments. In other embodiments, a transferred context may be constructed from the given comment and topically similar comments extracted from other, topically similar articles. A native context-aware feature may be determined from the constructed native context and a transferred context-aware feature may be determined from the constructed transferred context. These features may be leveraged by a language classifier to determine whether a given comment is irrelevant.

Machine learningNatural languageVisionSpeechKnowledge representationAI hardwareG06F 40/30G06F 16/353G06F 40/166G06F 40/289G06F 40/40H04L 51/212

AI classification

Natural language1.00
Machine learning1.00
Speech1.00
Vision1.00
Knowledge representation0.98
AI hardware0.80
Planning0.20
Evolutionary computation0.00

Ownership

LINKEDIN CORPORATION

assignment · 352140531

Assignors

AMIN, MOHAMMAD SHAFKAT, YAN, BAOSHI, BHASIN, ANMOL

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

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