Using workflows to explore and optimise named entity recognition for chemistry.
Chemistry text mining tools should be interoperable and adaptable regardless of system-level implementation, installation or even programming issues. We aim to abstract the functionality of these tools from the underlying implementation via reconfigurable workflows for automatically identifying chem...
Saved in:
| Main Authors: | Balakrishna Kolluru, Lezan Hawizy, Peter Murray-Rust, Junichi Tsujii, Sophia Ananiadou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2011-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0020181&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Named entity recognition for bacterial Type IV secretion systems.
by: Sophia Ananiadou, et al.
Published: (2011-03-01) -
Anatomical entity recognition with a hierarchical framework augmented by external resources.
by: Yan Xu, et al.
Published: (2014-01-01) -
Named Entity Recognition and Named Entity Linking on Esports Contents
by: Ziyu Liu, et al.
Published: (2020-09-01) -
SciBERT Optimisation for Named Entity Recognition on NCBI Disease Corpus with Hyperparameter Tuning
by: Abu Salam, et al.
Published: (2025-03-01) -
Named Entity Recognition in Bengali
by: Asif Ekbal, et al.
Published: (2010-02-01)