SsciBERT: A Pre-trained Language Model for Social Science Texts
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The academic literature of social sciences is the literature that records human civilization and studies human social problems. With the large-scale growth of this literature, ways to quickly find existing research on relevant issues have become an urgent demand for researchers. Previous studies, such as SciBERT, have shown that pre-training using domain-specific texts can improve the performance of natural language processing tasks in those fields. However, there is no pre-trained language model for social sciences, so this paper proposes a pre-trained model on many abstracts published in the Social Science Citation Index (SSCI) journals. The models, which are available on Github (https://github.com/S-T-Full-Text-Knowledge-Mining/SSCI-BERT), show excellent performance on discipline classification and abstract structure-function recognition tasks with the social sciences literature.
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