| Tài liệu tham khảo |
Loại |
Chi tiết |
| 1. Bendale A., Boult T.E. Towards open world recognition. CVPR 2015: 1893-1902 |
Sách, tạp chí |
| Tiêu đề: |
Towards open world recognition |
|
| 2. Chen Z., and Liu B.. Lifelong Machine Learning (2nd edition). Morgan & Claypool, 2018 |
Sách, tạp chí |
| Tiêu đề: |
Lifelong Machine Learning (2nd edition) |
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| 5. Fei F., Wang S., Liu B., Learning Cumulatively to Become More Knowledgeable. KDD 2016: 1565-1574 |
Sách, tạp chí |
| Tiêu đề: |
Learning Cumulatively to Become More Knowledgeable |
|
| 6. Fei G., Liu B., Breaking the Closed World Assumption in Text Classification. HLT-NAACL 2016: 506-514 |
Sách, tạp chí |
| Tiêu đề: |
Breaking the Closed World Assumption in Text Classification |
|
| 8. Leaman R., Doğan R.I., and Lu Z., “DNorm: disease name normalization with pairwise learning to rank”, Bioinformatics 29, 2013, no. 22, pp. 2909-2917 |
Sách, tạp chí |
| Tiêu đề: |
DNorm: disease name normalization with pairwise learning to rank |
|
| 9. Li H., Chen Q., Tang B., Wang X., Xu H., Wang B., and Huang D., “CNN-based ranking for biomedical entity normalization”, BMC bioinformatics, 2017, no. 11, vol. 18, pp. 385 |
Sách, tạp chí |
| Tiêu đề: |
CNN-based ranking for biomedical entity normalization |
|
| 10. Phan, M.C., Sun, A. and Tay, Y., 2019, July. Robust Representation Learning of Biomedical Names. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 3275-3285) |
Sách, tạp chí |
| Tiêu đề: |
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics |
|
| 11. Pyysalo S., Ginter F., and Moen H., “Distributional semantics resources for biomedical text processing”, LBM 2013, pp. 39-44 |
Sách, tạp chí |
| Tiêu đề: |
Distributional semantics resources for biomedical text processing |
|
| 15. Wei C.H., Peng Y., Leaman R., Davis A.P., Mattingly C.J., Li J., Wiegers T.C., and Lu Z., “Overview of the BioCreative V chemical disease relation (CDR) task” |
Sách, tạp chí |
| Tiêu đề: |
Overview of the BioCreative V chemical disease relation (CDR) task |
|
| 3. Cho H., Choi W., and Lee H., A method for named entity normalization in biomedical articles: application to diseases and plants. In BMC Bioinformatics, 2017 |
Khác |
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| 4. Davis A.P., Wiegers T. C., Rosenstein M. C., and Mattingly C. J.. MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database. In Database, 2012 |
Khác |
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| 7. Kim Y., (2014). Convolutional neural networks for sentence classification. ArXiv Preprint ArXiv:1408.5882. DOI: 10.3115/v1/d14-1181 |
Khác |
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| 12. Scheirer W.J., Rocha A.d.R., Sapkota A., and Boult T.E., (2013). Toward open set recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 35(7), pages 1757–1772. DOI: 10.1109/tpami.2012.256 |
Khác |
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| 13. Shu L., Xu H., and Liu B., (2017). DOC: Deep open classification of text documents. In EMNLP. DOI: 10.18653/v1/d17-1314 |
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Khác |
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