We are pleased to release the Call for Participation - BioASQ 2024: BioNNE stared task on Nested Named Entity Recognition.
[Apologies if you receive multiple copies of this email.]
The proposed BioNNE shared tasks involve NLP challenges on biomedical nested named entity recognition (NER) systems for English and Russian languages. The train/dev datasets include annotated mentions of disorders, anatomical structures, chemicals, diagnostic procedures, and biological functions. Participants are allowed to train any model architecture on any publicly available data in order to achieve the best performance.
The evaluation framework is divided into three broad tracks:
Track 1 - Bilingual: Participants in this track are required to train a single multi-lingual NER model using training data for both Russian and English languages. The model should be used to generate prediction files for each language's dataset.
Track 2 - English-oriented: Participants in this track are required to train a nested NER model for English scientific abstracts in the biomedical domain.
Track 3 - Russian-oriented: Participants in this track are required to train a nested NER model for Russian scientific abstracts in the biomedical domain.
See the details in our GitHub: https://github.com/nerel-ds/NEREL-BIO/tree/master/bio-nne
In order to download annotations, please register at the BioASQ website: http://participants-area.bioasq.org/#
To submit your results you need to register on the Codalab Competition page: https://codalab.lisn.upsaclay.fr/competitions/16464
Dates:
Registration opens: 13 November 2023
Training data release: 6 February 2024
Test data release, evaluation phase starts: 25 April 2024
Test set predictions due: 6 May 2024
Submission of participant papers: 31 May 2024
Acceptance notification for participant papers: 24 June 2024
Camera-ready working notes papers: 8 July 2024
BioASQ Workshop at CLEF 2024, Grenoble, France: 9-12 September 2024