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."