醫療領域實體對齊（實體鏈接）論文總結

2002

Pakhomov, Serguei. "Semi-supervised maximum entropy based approach to acronym and abbreviation normalization in medical texts." Proceedings of the 40th annual meeting on association for computational linguistics. Association for Computational Linguistics, 2002. 被引用次數：136

[paper]

2013

Leaman, Robert, Rezarta Islamaj Doğan, and Zhiyong Lu. "DNorm: disease name normalization with pairwise learning to rank." Bioinformatics 29.22 (2013): 2909-2917. 被引用次數：237

[paper]

[論文筆記]

2014

Doğan, Rezarta Islamaj, Robert Leaman, and Zhiyong Lu. "NCBI disease corpus: a resource for disease name recognition and concept normalization." Journal of biomedical informatics 47 (2014): 1-10.  被引用次數：159

[paper]

2015

Lee, Hsin-Chun, Yi-Yu Hsu, and Hung-Yu Kao. "An enhanced CRF-based system for disease name entity recognition and normalization on BioCreative V DNER Task." Proceedings of the fifth biocreative challenge evaluation workshop. 2015.  被引用次數：19

[paper]

D’Souza, Jennifer, and Vincent Ng. "Sieve-based entity linking for the biomedical domain." Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2015.  被引用次數：23

[paper]

Leaman, Robert, Chih-Hsuan Wei, and Zhiyong Lu. "tmChem: a high performance approach for chemical named entity recognition and normalization." Journal of cheminformatics 7.1 (2015): S3. 被引用次數：146

[paper]

2016

Leaman, Robert, and Zhiyong Lu. "TaggerOne: joint named entity recognition and normalization with semi-Markov Models." Bioinformatics 32.18 (2016): 2839-2846.  被引用次數：89

[paper]

Lee, Hsin-Chun, Yi-Yu Hsu, and Hung-Yu Kao. "AuDis: an automatic CRF-enhanced disease normalization in biomedical text." Database 2016 (2016).  被引用次數：10

[paper]

2017

Cho, Hyejin, Wonjun Choi, and Hyunju Lee. "A method for named entity normalization in biomedical articles: application to diseases and plants." BMC bioinformatics 18.1 (2017): 451.  被引用次數：7

[paper]

Wang, Meng, et al. "Pdd graph: Bridging electronic medical records and biomedical knowledge graphs via entity linking." International Semantic Web Conference. Springer, Cham, 2017. 被引用次數：8

[paper]

Li, Haodi, et al. "CNN-based ranking for biomedical entity normalization." BMC bioinformatics 18.11 (2017): 385. 被引用次數：11

[paper]

 

2018 

Nguyen, Thanh Ngan, Minh Trang Nguyen, and Thanh Hai Dang. Disease Named Entity Normalization Using Pairwise Learning To Rank and Deep Learning. VNU University of Engineering and Technology, 2018. 被引用次數：1

[paper]

主要思想：模型結構如下圖，首先進行預處理，去除標點，大小寫，詞幹化處理（stemming），然後使用Abbreviation Plus Pseudo-Precision (Ab3P)工具對縮寫進行改寫，再進行字典匹配（字典使用Comparative Toxicogenomics Database project (CTD)），如果字典沒有匹配上，使用pair-wise CNN對候選集進行打分，其中CNN使用word-level和character-level信息。在數據集BioCreative V Chemical Disease Relation (BC5 CDR)和NCBI Disease上實驗表明，這個模型性能高於baseline。

Luo, Yi, et al. "Multi-task medical concept normalization using multi-view convolutional neural network." Thirty-Second AAAI Conference on Artificial Intelligence. 2018.  被引用次數：2

[paper]

2019

Medical Entity Linking using Triplet Network 

[paper]

[論文筆記]