Chemlistem - chemical named entity recognition using recurrent neural networks. Corbett and Boyle 2017. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 61-68. Full writeup: J. Cheminf., submitted.Corbett, P., Boyle, J.: Chemlistem-chemical named entity recognition using ...
We report that tmChem is a state-of-the-art tool for chemical named entity recognition and that performance for chemical named entity recognition has now tied (or exceeded) the performance previously reported for genes and diseases. Future research should focus on tighter integration between the na...
The NLM-Chem corpus is a rich corpus created for chemical named entity recognition. We compared the NLM-Chem corpus with both the BC5CDR and ChemDNER corpora. Figure5shows a comparison with BC5CDR, because we can compare this both on the mention and ID level. The BC5CDR corpus contains ...
Section Chemical Named Entity Recognition (NER) approaches presents the methods of NER that are applied in the chemical entity recognition. Section Discussion presents an outlook on the applied methods and extracted entities. Section Conclusion concludes the paper....
et al. Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science. Patterns 3, 100488 (2022). Article Google Scholar Kononova, O. et al. Text-mined dataset of inorganic materials synthesis recipes. Sci. Data 6, 203 (2019). Article ...
Current, freely available chemical text mining and named entity recognition (NER) tools include OSCAR (Open-Source Chemistry Analysis Routines),75 CheNER (Chemical Named Entity Recognizer),76 and OPSIN (Open Parser for Systematic IUPAC Nomenclature).77 Although there are many challenges still unsolved...
Batchelor CR, Corbett PT: Semantic enrichment of journal articles using chemical named entity recognition. Proceedings of the ACL 2007 Demo and Poster Sessions. 2007, Association for Computational Linguistics Stroudsburg, PA, USA, 45-48. Google Scholar ...
Corbett P, Copestake A: Cascaded classifiers for confidence-based chemical named entity recognition. BMC Bioinformatics. 2008, 9: S4- Article PubMed Central PubMed Google Scholar Apache UIMA ConceptMapper Annotator Documentation. [http://uima.apache.org/d/uima-addons-current/ConceptMapper/ConceptMap...
et al. TENER: Adapting Transformer Encoder for Named Entity Recognition, ArXiv 2019;abs/1911.0447. Google Scholar [72] X. Lin, Z. Quan, Z.-J. Wang, et al. A novel molecular representation with BiGRU neural networks for learning atom Brief Bioinform, 21 (6) (2020), pp. 2099-2111 ...
A trivial name is an example of a registry-lookup chemical identifier: it provides a unique label for the named substance but the label itself says nothing (or little) about the characteristic properties and structure. Such data are stored in electronic or printed registries (handbooks) that ...