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Dataset Open Access

ProfNER corpus: gold standard annotations for profession detection in Spanish COVID-19 tweets

Miranda-Escalada, Antonio; Briva-Iglesias, Vicent; Farré, Eulàlia; Lima López, Salvador; Aguero, Marvin; Krallinger, Martin

LAST DATASET VERSION IS 1.3

 

 

Gold Standard annotations for SMM4H-Spanish shared task. SMM4H 2021 accepted at NAACL (scheduled in Mexico City in June) https://2021.naacl.org/.


Introduction:
The entire corpus contains 10,000 annotated tweets. It has been split into training, validation and test (60-20-20). The current version contains the training and development set of the shared task with Gold Standard annotations.
In future versions of the dataset, test and background sets will be released.

Annotations are distributed in 2 formats: Brat standoff and TSV. See Brat webpage for more information about Brat standoff format (https://brat.nlplab.org/standoff.html)
The TSV format follows the format employed in SMM4H 2019 Task 2:
Tweet ID                Begin   End     Class   text

In addition, we provide a tokenized version of the dataset, for participant's convenience. It follows the BIO format (similar to CONLL). The files were generated with the brat_to_conll.py script (included), which employs the es_core_news_sm-2.3.1 Spacy model for tokenization.


Zip structure:
txt-files: folder with text files. One text file per tweet. One sub-directory per corpus split (train and valid).
brat: folder with annotations in Brat format. One sub-directory per corpus split (train and valid).
TSV: folder with annotations in TSV. One file per corpus split (train and valid).
BIO: folder with corpus in BIO tagging. One file per corpus split (train and valid).


Important shared task information:
SYSTEM PREDICTIONS MUST FOLLOW THE TSV FORMAT.
 And systems will only be evaluated for the PROFESION and SITUACION_LABORAL predictions (despite the Gold Standard contains 2 extra entity classes). For more information about the evaluation scenario, see the Codalab link, or the evaluation webpage.

 

For further information, please visit https://temu.bsc.es/smm4h-spanish/ or email us at encargo-pln-life@bsc.es
 

Do not share the data with other individuals/teams without permission from the task organizer. Tweets IDs are the primary source of information. Tweet texts are provided as support material. By downloading this resource, you agree to the Twitter Terms of Service, Privacy Policy, Developer Agreement, and Developer Policy.

 

Resources:

Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
Files (10.8 MB)
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profner.zip
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