High-precision biomedical binary relation extraction system

The system is designed to extract highly precise relational information from input texts. Our approach to relation extraction includes two stages: 1) text preprocessing, in which a sequence of natural language processing modules are applied to texts. 2) relation extraction, in which relationships between entities are identified and classified. The system is available as a docker image, thus is platform independent. It allows users to: - extract entities in custom texts (providing input texts and input dictionaries); - extract relations in custom texts (providing input texts and input dictionaries); - replicate the results in gold standard corpora