Literature classification and its applications in condensed matter physics and materials science by natural language processing
Siyuan 思远 Wu 吴,
Tiannian 天念 Zhu 朱,
Sijia 思佳 Tu 涂
et al.
Abstract:The exponential growth of literature is constraining researchers’ access to comprehensive information in related fields. While natural language processing (NLP) may offer an effective solution to literature classification, it remains hindered by the lack of labelled dataset. In this article, we introduce a novel method for generating literature classification models through semi-supervised learning, which can generate labelled dataset iteratively with limited human input. We apply this method to train NLP mode… Show more
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