Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model.

ABSTRACT: Large-scale neuroscience literature call for effective methods to mine the knowledge from species perspective to link the brain and neuroscience communities, neurorobotics, computing devices, and AI research communities. Structured knowledge can motivate researchers to better understand the functionality and structure of the brain and link the related resources and components. However, the abstracts of massive scientific works do not explicitly mention the species. Therefore, in addition to dictionary-based methods, we need to mine species using cognitive computing models that are more like the human reading process, and these methods can take advantage of the rich information in the literature. We also enable the model to automatically distinguish whether the mentioned species is the main

SUBMITTER: Zhu H 

PROVIDER: S-EPMC7187631 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature