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---
dataset_info:
features:
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dtype: string
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- name: text
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- name: passages
list:
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- name: entities
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list: int32
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- name: functionInDocument
dtype: string
- name: timex3Class
dtype: string
- name: value
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- name: concept_1
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- name: concept_2
dtype: string
config_name: e3c_source
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dataset_size: 575318910
---
# Dataset Card for E3C
## Dataset Description
- **Homepage:** https://github.com/hltfbk/E3C-Corpus
- **PubMed** False
- **Public:** True
- **Tasks:** NER,RE
The European Clinical Case Corpus (E3C) project aims at collecting and \
annotating a large corpus of clinical documents in five European languages (Spanish, \
Basque, English, French and Italian), which will be freely distributed. Annotations \
include temporal information, to allow temporal reasoning on chronologies, and \
information about clinical entities based on medical taxonomies, to be used for semantic reasoning.
## Citation Information
```
@inproceedings{DBLP:conf/clic-it/MagniniALSZ20,
author = {Bernardo Magnini and
Bego{\~{n}}a Altuna and
Alberto Lavelli and
Manuela Speranza and
Roberto Zanoli},
editor = {Johanna Monti and
Felice Dell'Orletta and
Fabio Tamburini},
title = {The {E3C} Project: Collection and Annotation of a Multilingual Corpus
of Clinical Cases},
booktitle = {Proceedings of the Seventh Italian Conference on Computational Linguistics,
CLiC-it 2020, Bologna, Italy, March 1-3, 2021},
series = {{CEUR} Workshop Proceedings},
volume = {2769},
publisher = {CEUR-WS.org},
year = {2020},
url = {https://ceur-ws.org/Vol-2769/paper\_55.pdf},
timestamp = {Fri, 10 Mar 2023 16:22:17 +0100},
biburl = {https://dblp.org/rec/conf/clic-it/MagniniALSZ20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
```
@article{Zanoli_Lavelli_Verdi do Amarante_Toti_2024,
title={Assessment of the E3C corpus for the recognition of disorders in clinical texts}, volume={30}, DOI={10.1017/S1351324923000335},
number={4},
journal={Natural Language Engineering},
author={Zanoli, Roberto and Lavelli, Alberto and Verdi do Amarante, Daniel and Toti, Daniele},
year={2024},
pages={851–869}}
```
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