MediCause Dataset of Causal Sentences with Annotated Entities
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资源简介:
The MediCause dataset contains 1202 causal sentences from medical publications where the entities involved in the causal relations have been annotated according to the MediCause ontological model for causal relations. The entities are annotated according to the Inside-Outside-Beginning (IOB) format. The labels used for the annotation are B-C (Cause), B-VC (Causal Variable), B-CS (Beginning Causal Specifier), I-CS (Inside Causal Specifier), B-CON (Beginning Connective), I-CON (Inside Connective), B-EF (Effect), B-VE (Effect Variable), B-ES (Beginning Effect Specifier), I-ES (nside Effect Specifier), O (Outside).
创建时间:
2022-04-07



