TFEBioNER: A New Method for Biomedical Named Entity Recognition Based on Table Filling for Feature Extraction-Reference-Cited by-同舟云学术

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TFEBioNER: A New Method for Biomedical Named Entity Recognition Based on Table Filling for Feature Extraction

Published:2024-01-26 Issue: Volume: Page:693-697
ISSN:
Container-title:Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering
language:
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Author:

Song Lixing¹^ORCID,Zhang Lin¹^ORCID

Affiliation:

1. College of Information Engineering, Shanghai Maritime University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3672758.3672874

Reference20 articles.

1. Li Y, Lin H, Yang Z. Incorporating rich background knowledge for gene named entity classification and recognition[J]. BMC bioinformatics, 2009, 10(1): 1-15.

2. Huang Z, Xu W, Yu K. Bidirectional LSTM-CRF models for sequence tagging[J]. ar**v preprint ar**v:1508.01991, 2015.

3. Vaswani A, Shazeer N, Parmar N, Attention is all you need[J]. Advances in neural information processing systems, 2017, 30.

4. Shen Y, Ma X, Tan Z, Locate and label: A two-stage identifier for nested named entity recognition[J]. ar**v preprint ar**v:2105.06804, 2021.

5. Wang Y, Sun C, Wu Y, UniRE: A unified label space for entity relation extraction[J]. ar**v preprint ar**v:2107.04292, 2021.

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