Following the 2019 issue of the DEFT challenge, we propose a fine-grained information extraction task from clinical cases. In addittion, we propose two tasks about semantic similarity between sentences from Wikipedia.
What are clinical cases?
Clinical cases describe clinical situations of patients, real or fake. The cases are published in various sources (scientific, didactic, associative, legal...). They are de-identified. Their purpose is to present situations that are typical (as in didactic sources) or rare (as in scientific sources).
Global information on the corpus
The corpus used in this challenge is part of a larger corpus with clinical cases, with more complete annotations and associated information . For DEFT 2019, the Organizers focused on clinical cases associated with keywords and discussions. These clinical cases are related to various medical specialties (cardiology, urology, oncology, obstetrics, pulmonology, gastro-enterology...). They have been published in different French-speaking countries (France, Belgium, Switzerland, Canada, African countries, tropical countries...).
The reference data are consensual and obtained from two independent annotations.
 N Grabar, V Claveau, C Dalloux. CAS: French Corpus with Clinical Cases. LOUHI 2018, p. 1-7
Access to data
Access to data is possible only after the user agreement is signed by all the team members. The participants can engage in one or more tasks. When getting the data, the participants are committed to submit the results for at least one task.
Proposed tasks are: