Character Embedding System

From GM-RKB
Jump to navigation Jump to search

A Character Embedding System is a subword embedding system that implements a character embedding algorithm to solve a character embedding task (to map text characters into a vector representation).



References

2020

2019a

2019 DetectCamouflagedSpamContentVia Fig2.png
Figure 2: An Illustration of “StoneSkippingFramework.

2019b

2018

2018 DetectingTextInTheWildWithDeepC Fig2.png
Figure 1: [. Overall process of the model. Blue bounding boxes in “character proposals” are character candidates with high confidence scores. “Character Clusters” is the character clusters in embedding space, where candidates in the same cluster use the same color. The final detected words represented in quadrangles are shown in “Detected text”. Better view in color.

2016

2015

2015 JointLearningOfCharacterAndWord Fig1.png
Figure 1: CBOW and CWE.

2014