Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition

Author:

Cho Minsoo,Ha Jihwan,Park ChihyunORCID,Park Sanghyun

Funder

Ministry of Science and ICT, South Korea

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference37 articles.

1. Biomedical named entity recognition: a survey of machine-learning tools;Campos;Theor. Appl. Adv. Text Min.,2012

2. A simple algorithm for identifying negated findings and diseases in discharge summaries;Chapman;J. Biomed. Inform.,2001

3. J.P.C. Chiu, E. Nichols, Named entity recognition with bidirectional LSTM-CNNs, arXiv preprint arXiv:1511.08308, 2015.

4. K. Cho et al., Learning phrase representations using RNN encoder-decoder for statistical machine translation, arXiv preprint arXiv: 1406.1078, 2014.

5. D3NER: Biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information;Dang;Bioinformatics,2018

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