Aristotle University’s Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab

A. Minas, A. Lagopoulos, G. Tsoumakas (2018) Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab, eHealth Lab of the 9th Conference and Labs of the Evaluation Forum (CLEF 2018)

Adamantios Minas, Athanasios Lagopoulos, Grigorios TsoumakasAdamantios Minas, Athanasios Lagopoulos, Grigorios Tsoumakas

Systematic reviews are literature reviewing processes that aim to retrieve all relevant content based on a specific topic, in an exhaustive manner. Such reviews are particularly useful in healthcare, where decision making must take into account all possible evidence, and are usually done by constructing a boolean query and submitting it to a database, and then screening the retrieved documents for relevant ones. Task 2 of CLEF 2018 eHealth lab focuses on automating this process on two fronts: Sub-Task 1 is about bypassing the construction of the boolean query, retrieving relevant documents and ranking them by relevance based on a protocol that describes a topic, and Sub-Task 2 is about ranking the documents retrieved by an already constructed query by Cochrane experts. We present our approaches for both sub-tasks, which combine a learning-to-rank model trained on multiple reviews with a model incrementally trained on each individual review using relevance feedback.