Shypd.aiThe largest open index of AI toolsmrc-for-flat-nested-ner is an open-source Data & Analytics tool that provides a unified MRC framework for named entity recognition. It supports both flat and nested NER tasks, based on ACL 2020 research.
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mrc-for-flat-nested-ner is an open-source tool implementing a unified Machine Reading Comprehension (MRC) framework for named entity recognition (NER). Based on research presented at ACL 2020, this tool is designed for researchers and practitioners in natural language processing. It provides code, scripts, and data files for fine-tuning BERT models and treating NER as a sequence labeling task. The framework supports both flat and nested NER tasks, offering utilities to transform BMES NER annotations to MRC-format for flat NER and start-end NER annotations to MRC-format for nested NER. It leverages pytorch-lightning for training procedures and includes scripts for reproducing experimental results.
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