Early exit for natural language processing models

Barak Battach; Amit Bleiweiss; Haim Barad; Intel Corp

Early exit for natural language processing models

Barak Battach (Inventor)
, Amit Bleiweiss (Inventor)
, Haim Barad (Inventor)
, Intel Corp (Inventor)

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Research output: Patent

Abstract

The disclosure provides a natural language processing (NLP) model arranged to operate on two lexicons, where one lexicon is a sub-set of the other lexicon. The NLP model can be arranged to generate output based on the sub-set lexicon and exit processing of the NLP model, to potentially save computation cycles.

Original language	English
State	Published - 14 May 2019

Bibliographical note

[Online; accessed 28. Aug. 2024]

Access to Document

https://patents.google.com/patent/US11544461B2/en

Cite this

@misc{aee7e531ac07458e84c9f9d9e367d80b,

title = "Early exit for natural language processing models",

abstract = "The disclosure provides a natural language processing (NLP) model arranged to operate on two lexicons, where one lexicon is a sub-set of the other lexicon. The NLP model can be arranged to generate output based on the sub-set lexicon and exit processing of the NLP model, to potentially save computation cycles.",

author = "Barak Battach and Amit Bleiweiss and Haim Barad and Intel Corp",

year = "2019",

month = may,

day = "14",

language = "אנגלית",

type = "Patent",

}

TY - PAT

T1 - Early exit for natural language processing models

AU - Battach, Barak

AU - Bleiweiss, Amit

AU - Barad, Haim

AU - Corp, Intel

N1 - [Online; accessed 28. Aug. 2024]

PY - 2019/5/14

Y1 - 2019/5/14

N2 - The disclosure provides a natural language processing (NLP) model arranged to operate on two lexicons, where one lexicon is a sub-set of the other lexicon. The NLP model can be arranged to generate output based on the sub-set lexicon and exit processing of the NLP model, to potentially save computation cycles.

AB - The disclosure provides a natural language processing (NLP) model arranged to operate on two lexicons, where one lexicon is a sub-set of the other lexicon. The NLP model can be arranged to generate output based on the sub-set lexicon and exit processing of the NLP model, to potentially save computation cycles.

M3 - ???researchoutput.researchoutputtypes.patent.patent???

ER -

Early exit for natural language processing models

Abstract

Bibliographical note

Access to Document

Fingerprint

Cite this