当前位置: X-MOL 学术Neural Comput. & Applic. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Detecting dynamics of action in text with a recurrent neural network
Neural Computing and Applications ( IF 6 ) Pub Date : 2021-06-15 , DOI: 10.1007/s00521-021-06190-5
Nicole Gruber

According to the dynamics of action (DoA)-theory, action is an interplay of instigating and consummatory forces over time. The TAT/PSE—a psychological test instrument—should measure this dynamics. Therefore, people get presented different pictures with the instruction to invent stories. In those stories, the periodical tendencies should be visible, but this could not be shown yet. I reanalyzed two datasets regarding category IS: They were coded by a human expert, a recurrent neural network (RNN), and a convolutional neural network (CNN). It is visible that in Heckhausen's origin data category IS produces saw-tooth related curves in the stories across the pictures and that this could potentially better be detected by the RNN than by the CNN or the human coder. Second, I reanalyzed a study that experimentally assessed the DoA with a picture x position effect and rejected it. Here again, only the RNN coded IS-score produces a statistical significant picture x position effect. This shows that because of its sequential structure the RNN detects different phrases in the text that are barely capable by human coder or other neural networks but are related to motive theories.



中文翻译:

使用循环神经网络检测文本中的动作动态

根据行动动力学 (DoA) 理论,行动是随着时间的推移激发和完成力量的相互作用。TAT/PSE——一种心理测试工具——应该测量这种动态。因此,人们会收到不同的图片以及如何编故事的指令。在那些故事中,周期性趋势应该是可见的,但这还没有表现出来。我重新分析了关于类别 IS 的两个数据集:它们由人类专家、循环神经网络 (RNN) 和卷积神经网络 (CNN) 编码。很明显,在 Heckhausen 的原始数据类别中,IS 在图片中的故事中产生了锯齿相关的曲线,并且 RNN 可能比 CNN 或人类编码器更好地检测到这一点。第二,我重新分析了一项研究,该研究通过图片 x 位置效应对 DoA 进行了实验评估并拒绝了它。同样,只有 RNN 编码的 IS-score 会产生统计上显着的图片 x 位置效应。这表明,由于其顺序结构,RNN 可以检测文本中人类编码器或其他神经网络几乎无法识别但与动机理论相关的不同短语。

更新日期:2021-06-15
down
wechat
bug