Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Reading comprehension is a question ansring task where the ansr is to be found in a given passage about entities and events not mentioned in general knowledge sources. A significant number of neural architectures for this task (neural readers) have recently been developed and evaluated on large cloze-style datasets.  present experiments supporting the existence of logical structure in the hidden state vectors of "aggregation readers" such as the Attentive Reader and Stanford Reader. The logical structure of aggregation readers reflects the architecture of "explicit reference readers" such as the Attention-Sum Reader, the Gated Attention Reader and the Attention-over-Attention Reader. This relationship beten aggregation readers and explicit reference readers presents a case study in emergent logical structure. In an independent contribution,  show that the addition of linguistics features to the input to existing neural readers significantly boosts performance yielding the best results to date on the Who-did-What datasets.
['Hai Wang', 'Takeshi Onishi', 'Kevin Gimpel', 'David A. McAllester']
I am writing a research paper on a idea Emergent Logical Structure in Vector Representations of Neural Readers
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