AGNet: Automatic generation network for skin imaging reports

2021 ◽  
pp. 105037
Author(s):  
Fan Wu ◽  
Haiqiong Yang ◽  
Linlin Peng ◽  
Zongkai Lian ◽  
Mingxin Li ◽  
...  
Keyword(s):  
Automatic Generation ◽  
Skin Imaging ◽  
Generation Network

scholarly journals Chinese Math Word Problems Generation Network

2021 ◽  
Vol 2050 (1) ◽  
pp. 012001
Author(s):  
Junjian Huang ◽  
Ming Xu ◽  
Hengyi Zheng ◽  
Qian Shang
Keyword(s):  
Word Problems ◽  
Feature Vector ◽  
Training Model ◽  
Automatic Generation ◽  
Time Cost ◽  
Training Process ◽  
Data Set ◽  
Training Time ◽  
Generation Network ◽  
End To End

Abstract Aiming at the feature vector bottleneck problem and the high time cost of the training process in the automatic generation of Chinese math word problems under the end-to-end architecture, we proposed an automatic generation method of Chinese math word problems based on the pre-training model combined with the integration of encoder and decoder. We used a deep neural network to model the mathematical equation sequence and Chinese keyword information, and used the stepped attention matrix to generate word problems. For training and testing on the Ape210K data set, compared with the end-to-end method, the Rouge-1 and Rouge-L evaluation indicators in our method was increased by 14.1% and 12.5%, as well as the training time cost was reduced by nearly 50%.

The Role of Visual Distractors in the Simon Effect

2017 ◽  
Vol 64 (6) ◽  
pp. 387-397 ◽  
Author(s):  
Luisa Lugli ◽  
Stefania D’Ascenzo ◽  
Roberto Nicoletti ◽  
Carlo Umiltà
Keyword(s):  
Simon Effect ◽  
Simon Task ◽  
Automatic Generation ◽  
Spatial Code ◽  
Attentional Model ◽  
Previous Evidence ◽  
Spatial Stimulus ◽  
Attentional Resources ◽  
Code Changes

Abstract. The Simon effect lies on the automatic generation of a stimulus spatial code, which, however, is not relevant for performing the task. Results typically show faster performance when stimulus and response locations correspond, rather than when they do not. Considering reaction time distributions, two types of Simon effect have been individuated, which are thought to depend on different mechanisms: visuomotor activation versus cognitive translation of spatial codes. The present study aimed to investigate whether the presence of a distractor, which affects the allocation of attentional resources and, thus, the time needed to generate the spatial code, changes the nature of the Simon effect. In four experiments, we manipulated the presence and the characteristics of the distractor. Findings extend previous evidence regarding the distinction between visuomotor activation and cognitive translation of spatial stimulus codes in a Simon task. They are discussed with reference to the attentional model of the Simon effect.

A Method for Reliability Assessment of Spatial Plate Structures Through Automatic Generation of Ultimate Collapse Modes

1991 ◽  
Vol 1991 (170) ◽  
pp. 483-491 ◽  
Author(s):  
Hiroo Okada ◽  
Yoshisada Murotsu ◽  
Keiji Ueyama ◽  
Minoru Harada ◽  
Kazuya Kondo
Keyword(s):  
Reliability Assessment ◽  
Automatic Generation ◽  
Plate Structures
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