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This model uses BERT to detect cause and effect from a single sentence. The focus of this model is the domain of software requirements engineering, however, it can also be used for other domains.

The model outputs one of the following 5 labels for each token:

Other B-Cause I-Cause B-Effect I-Effect


widget: - text: "If a user signs up, he will receive a confirmation email."