| 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." |