Before revision:  We show that our bio-inspired model canbe used to investigate how different word embedding techniquesresult in different semantic outputs, which can emphasize or obscureparticular interpretations in textual data.
After revision:  We show that our bio-inspired model can be used to investigate how different word embedding techniquesresult in different semantic outputs, which can emphasize or obscureparticular interpretations in textual data.