Title:
EFFICIENT ANNOTATION OF LARGE SAMPLE GROUP
Document Type and Number:
WIPO Patent Application WO/2018/157410
Kind Code:
A1
Abstract:
A method for annotating a batch of original samples is provided. A first subset of original samples, selected from the batch and determined by minimizing an entropy-mean difference between the first subset and the batch, is used for human annotation to yield human-annotated samples. The human-annotated samples are used as training data to configure an annotation process for annotating an input sample to yield an annotated output sample, and a check process for verifying annotation accuracy of the annotated output sample. Remaining original samples in the batch are processed by the annotation process to yield machine-annotated samples, whose accuracy is verified by the check process. In one embodiment, part of the original samples corresponding to erroneous machine-annotated samples are selected for human annotation. Resultant additional human-annotated samples are used to update the two processes. The remaining original samples not yet annotated are then processed by the two processes.
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Inventors:
LIU YANG (CN)
FENG CHAO (CN)
GAN ZHENGMAIRUO (CN)
LEI ZHI BIN (CN)
XIANG YI (CN)
FENG CHAO (CN)
GAN ZHENGMAIRUO (CN)
LEI ZHI BIN (CN)
XIANG YI (CN)
Application Number:
PCT/CN2017/075796
Publication Date:
September 07, 2018
Filing Date:
March 06, 2017
Export Citation:
Assignee:
HONG KONG APPLIED SCIENCE & TECH RESEARCH INST CO LTD (CN)
International Classes:
G06F17/30; G06N20/00
Foreign References:
| CN104462614A | 2015-03-25 | |||
| US20160307113A1 | 2016-10-20 | |||
| US20130097103A1 | 2013-04-18 |
Attorney, Agent or Firm:
CHINA PAT INTELLECTUAL PROPERTY OFFICE (CN)
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