pharm-relation-extraction === Model trained to recognize 4 types of relationships between significant pharmacological entities in russian-language reviews: ADR–Drugname, Drugname–Diseasename, Drugname–SourceInfoDrug, Diseasename–Indication. The input of the model is a review text and a pair of entities, between which it is required to determine the fact of a relationship and one of the 4 types of relationship, listed above. Data ---- Proposed model is trained on a subset of 908 reviews of the [Russian Drug Review Corpus (RDRS)](https://arxiv.org/pdf/2105.00059.pdf). The subset contains the markup of the following types of entities: and contains pairs of entities marked with the 4 listed types of relationships: - ADR-Drugname — the relationship between the drug and its side effects - Drugname-SourceInfodrug — the relationship between the medication and the source of information about it (e.g., “was advised at the pharmacy”, e.g., “was advised at the pharmacy”, “the doctor recommended it”); - Drugname-Diseasname — the relationship between the drug and the disease - Diseasename-Indication — the connection between the illness and its symptoms (e.g., “cough”, “fever 39 degrees”) Also, this subset contains pairs of the same entity types between which there is no relationship: for example, a drug and an unrelated side effect that appeared after taking another drug; in other words, this side effect is related to another drug. Model topology and training ---- Proposed model is based on the [XLM-RoBERTA-large](https://arxiv.org/abs/1911.02116) topology. After the additional training as a language model on corpus of unmarked drug reviews, this model was trained as a classification model on 80% of the texts from subset of the corps described above. How to use ---- See section "How to use" in [our git repository for the model](https://github.com/sag111/Relation_Extraction) Results ---- Here are the accuracy, estimated by the f1 score metric for the recognition of relationships on the best fold. | ADR–Drugname | Drugname–Diseasename | Drugname–SourceInfoDrug | Diseasename–Indication | | ------------- | -------------------- | ----------------------- | ---------------------- | | 0.955 | 0.892 | 0.922 | 0.891 |