Intro: Cantemist shared task dataset (divided in train, dev1, dev2 and test). In addition, we include here the Cantemist background set. It contains the train, development and test sets of the three subtasks: cantemist-ner, cantemist-norm and cantemist-coding with Gold Standard annotations. In addition, it contains the documents of the background set, without annotations. Please cite if you use this dataset: Miranda-Escalada, A., Farré, E., & Krallinger, M. (2020). Named entity recognition, concept normalization and clinical coding: Overview of the cantemist track for cancer text mining in spanish, corpus, guidelines, methods and results. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020), CEUR Workshop Proceedi...
Introduction These are the train, development, test and background sets of the CodiEsp corpus. Train...
Intro: Meddocan shared task dataset (divided in train, dev and test). In addition, we include here ...
These are the train and development sets of the CodiEsp corpus, released in the context of the CodiE...
Cantemist shared task train and development sets with Gold Standard annotations AND Cantemist test+b...
The Cantemist corpus was manually annotated by clinical experts following the Cantemist guidelines. ...
Introduction Predictions in the background set of Cantemist participants. Zip structure One di...
Esta guía tiene por objetivo describir las especificaciones para la anotación de menciones relaciona...
Intro: PharmaCoNER shared task dataset (divided into train, dev and test). In addition, we include ...
Introduction Predictions in the background set of eHealth CLEF 2020 Task 1 participants. Zip st...
Pathology reports provide valuable information for cancer registries to understand, plan and impleme...
CodieEsp guidelines were employed for the annotation of the CodiEsp corpus, available at https://zen...
Introduction These are the train, development and test sets of the CodiEsp corpus. Train, developme...
Please cite if you use this dataset: Miranda-Escalada, A., Gascó, L., Lima-López, S., Farré-Maduell...
LivingNER Gold Standard corpus (includes training, validation, test and background sets + MULTILINGU...
A collection of 24.298 pairs of professional and simplified texts (>96 million tokens): 1) Drug leaf...
Introduction These are the train, development, test and background sets of the CodiEsp corpus. Train...
Intro: Meddocan shared task dataset (divided in train, dev and test). In addition, we include here ...
These are the train and development sets of the CodiEsp corpus, released in the context of the CodiE...
Cantemist shared task train and development sets with Gold Standard annotations AND Cantemist test+b...
The Cantemist corpus was manually annotated by clinical experts following the Cantemist guidelines. ...
Introduction Predictions in the background set of Cantemist participants. Zip structure One di...
Esta guía tiene por objetivo describir las especificaciones para la anotación de menciones relaciona...
Intro: PharmaCoNER shared task dataset (divided into train, dev and test). In addition, we include ...
Introduction Predictions in the background set of eHealth CLEF 2020 Task 1 participants. Zip st...
Pathology reports provide valuable information for cancer registries to understand, plan and impleme...
CodieEsp guidelines were employed for the annotation of the CodiEsp corpus, available at https://zen...
Introduction These are the train, development and test sets of the CodiEsp corpus. Train, developme...
Please cite if you use this dataset: Miranda-Escalada, A., Gascó, L., Lima-López, S., Farré-Maduell...
LivingNER Gold Standard corpus (includes training, validation, test and background sets + MULTILINGU...
A collection of 24.298 pairs of professional and simplified texts (>96 million tokens): 1) Drug leaf...
Introduction These are the train, development, test and background sets of the CodiEsp corpus. Train...
Intro: Meddocan shared task dataset (divided in train, dev and test). In addition, we include here ...
These are the train and development sets of the CodiEsp corpus, released in the context of the CodiE...