Mapping Complex Technologies via Science-Technology Linkages; The Case of Neuroscience - A transformer based keyword extraction approach

@article{Hain2022MappingCT,
  title={Mapping Complex Technologies via Science-Technology Linkages; The Case of Neuroscience - A transformer based keyword extraction approach},
  author={Daniel Stefan Hain and Roman Jurowetzki and Mariagrazia Squicciarini},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.10153}
}
In this paper, we present an e cient deep learning based approach to extract technology-related topics and keywords within scientific literature, and identify corresponding technologies within patent applications. Specifically, we utilize transformer based language models, tailored for use with scientific text, to detect coherent topics over time and describe these by relevant keywords that are automatically extracted from a large text corpus. We identify these keywords using Named Entity… 

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