New Computational Methods for Literature-Based Discovery
Description:
In this work, we leverage the recent developments in computer science to address several of the challenges in current literature-based discovery (LBD) solutions. First, LBD solutions cannot use semantics or are too computational complex. To solve the problems we propose a generative model OverlapLDA based on topic modeling, which has been shown both effective and efficient in extracting semantics from a corpus. We also introduce an inference method of OverlapLDA. We conduct extensive experiment…
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Date:
May 2022
Creator:
Ding, Juncheng
Partner:
UNT Libraries