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Protein complex mention recognition with web-based knowledge learning

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Abstract

Protein complex plays an essential role in cellular functions and is an important named entity in the biomedical field. Since protein complex –relevant experimental results are usually published in scientific articles, recognizing protein complex mentions from literature is a crucial step of discovering protein complex-related information from existing scientific research studies. In this paper, we propose a method for protein complex mention recognition, which applies knowledge automatically learned from PubMed. Evaluation shows our method achieves a F1-score of 81%, demonstrating its effectiveness in the protein complex recognition task.

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Ding, R., Pan, X., Qu, Y., Wu, C. H., & Vijay-Shanker, K. (2018). Protein complex mention recognition with web-based knowledge learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11284 LNCS, pp. 190–197). Springer Verlag. https://doi.org/10.1007/978-3-030-03580-8_20

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