[bertomartin]

Could you use such a model to do sequence labeling? For example, I have a text document such as a financial document and I want to detect where in that document it states that a "stock split" will occur, or "share repurchase" and how much. This seems like a good approach given that it learns context. I know there are NER methods, but this is slightly different. I want to train a model to recognize specific events. The best I can do right now is a regex.

[syllogism]

If you want to tag sequential spans of text, then you've basically got the same "shape" of problem as named entity recognition, just with different labels and data. BiLSTMs work well for this.