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Found 2 papers, 2 papers with code
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions
We demonstrate how EneRex is able to extract key insights and trends from a large-scale dataset in the domain of computer science.
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
For the problem of patent citations, we observe that forecasting a patent's chain of citations benefits from not only the patent's history itself but also from the historical citations of assignees and inventors associated with that patent.
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