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

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