Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature

Abdullatif Köksal
Boğaziçi University
Hilal Dönmez
Boğaziçi University
Rıza Özçelik
Boğaziçi University
Elif Ozkirimli
Boğaziçi University
Arzucan Özgür
Boğaziçi University

The workflow of the pipeline behind Vapur represented below. We first split the abstracts to sentences and use BERN to detect the entities in the text. We then identify the biochemical relations with the relation extraction model that we trained and reform the output as an inverted index of relations. Vapur leverages this inverted index to retrieve relevant publications to the query as categorized by related entities.



    We would like to thank Enes Çakır for his efforts on the deployment of Vapur.
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