2022
ACL
ACL 2022
Improving Romanian BioNER Using a Biologically Inspired System
Abstract
AbstractRecognition of named entities present in text is an important step towards information extraction and natural language understanding. This work presents a named entity recognition system for the Romanian biomedical domain. The system makes use of a new and extended version of SiMoNERo corpus, that is open sourced. Also, the best system is available for direct usage in the RELATE platform.
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Interdisciplinary Bridge
- Artificial Intelligence and Healthcare & Medicine and Natural Language Processing
Authors
Topics
Natural Language Processing > Understanding > Named Entity Recognition
Natural Language Processing > Applications > Information Extraction
Natural Language Processing > Resources & Methods > Multilingual NLP
Healthcare & Medicine > Clinical > Clinical NLP
Healthcare & Medicine > Research > Bioinformatics
Artificial Intelligence > Core AI > Natural Language Processing