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--- |
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language: |
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- es |
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bigbio_language: |
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- Spanish |
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license: cc-by-4.0 |
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multilinguality: monolingual |
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bigbio_license_shortname: CC_BY_4p0 |
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pretty_name: CANTEMIST |
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homepage: https://temu.bsc.es/cantemist/?p=4338 |
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bigbio_pubmed: False |
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bigbio_public: True |
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bigbio_tasks: |
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- NAMED_ENTITY_RECOGNITION |
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- NAMED_ENTITY_DISAMBIGUATION |
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- TEXT_CLASSIFICATION |
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--- |
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# Dataset Card for CANTEMIST |
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## Dataset Description |
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- **Homepage:** https://temu.bsc.es/cantemist/?p=4338 |
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- **Pubmed:** False |
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- **Public:** True |
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- **Tasks:** NER,NED,TXTCLASS |
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Collection of 1301 oncological clinical case reports written in Spanish, with tumor morphology mentions manually annotated and mapped by clinical experts to a controlled terminology. Every tumor morphology mention is linked to an eCIE-O code (the Spanish equivalent of ICD-O). |
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The original dataset is distributed in Brat format, and was randomly sampled into 3 subsets. The training, development and test sets contain 501, 500 and 300 documents each, respectively. |
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This dataset was designed for the CANcer TExt Mining Shared Task, sponsored by Plan-TL. The task is divided in 3 subtasks: CANTEMIST-NER, CANTEMIST_NORM and CANTEMIST-CODING. |
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CANTEMIST-NER track: requires finding automatically tumor morphology mentions. All tumor morphology mentions are defined by their corresponding character offsets in UTF-8 plain text medical documents. |
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CANTEMIST-NORM track: clinical concept normalization or named entity normalization task that requires to return all tumor morphology entity mentions together with their corresponding eCIE-O-3.1 codes i.e. finding and normalizing tumor morphology mentions. |
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CANTEMIST-CODING track: requires returning for each of document a ranked list of its corresponding ICD-O-3 codes. This it is essentially a sort of indexing or multi-label classification task or oncology clinical coding. |
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For further information, please visit https://temu.bsc.es/cantemist or send an email to [email protected] |
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## Citation Information |
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``` |
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@article{miranda2020named, |
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title={Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines, Methods and Results.}, |
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author={Miranda-Escalada, Antonio and Farr{'e}, Eul{\`a}lia and Krallinger, Martin}, |
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journal={IberLEF@ SEPLN}, |
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pages={303--323}, |
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year={2020} |
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} |
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``` |
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