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--- |
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license: mit |
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language: |
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- en |
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metrics: |
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- f1 |
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base_model: |
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- microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext |
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pipeline_tag: token-classification |
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tags: |
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- clinical |
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- MIMIC-III |
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- Segmentation |
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--- |
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# Model Details |
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## Model Description |
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<!-- Provide a longer summary of what this model is/does. --> |
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This model is used for sentence segmentation of MIMIC-III notes. It takes the clinical text as input and predict BIO tagging, where B indicates the Beginning of a sentence, I represents Inside of a sentence, and O denotes Outside of a sentence. More details of this model is in the paper [Automatic sentence segmentation of clinical record narratives in real-world data](https://aclanthology.org/2024.emnlp-main.1156/). The smaple code of using this model is at [github](https://github.com/dongfang91/sentence_segmenter/tree/main/baseline) |
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Out segmentation model is based on [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext), and we trained on MIMIC-III notes for a sequence labeling (token classification) task. |
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- **Model type:** token classification model |
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- **Language(s) (NLP):** en |
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- **Parent Model:** [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) |
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- **Resources for more information:** More information needed |
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[GitHub Repo](https://github.com/dongfang91/sentence_segmenter/tree/main/baseline) |
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# Citation |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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Dongfang Xu, Davy Weissenbacher, Karen O’Connor, Siddharth Rawal, and Graciela Gonzalez Hernandez. 2024. [Automatic sentence segmentation of clinical record narratives in real-world data](https://aclanthology.org/2024.emnlp-main.1156/). In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 20780–20793, Miami, Florida, USA. Association for Computational Linguistics. |
