An attention‐based BiLSTM‐CRF approach to document‐level chemical named entity recognition

By Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang. Bioinform., 2018

386 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/204a327e58a8594f701e0526fcc12d2c36aaaf4c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xindong Wu
2. Hao Peng
3. Lingfeng Zhong
4. Qian Li
5. Jia Wu

In Molecular Biology

1. Xindong Wu
2. Hao Peng
3. Qian Li

Citations in the corpus

• A Comprehensive Survey on Automatic Knowledge Graph Construction (2023, background): “Luo et al. [104] introduce word-level soft attention to enhance named entity recognition.”