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If you want to build your own dataset, you could look at packages such as: Faker Mimesis They both provide features to generate company/institution names based on certain locales as well. If your go …

That layer isn't required indeed as it also encodes the sequence, albeit in a different way than BERT. What I assume is that in a BERT-BiLSTM-CRF, setup, the BERT layer is either frozen or difficult t …

Absolutely. If you look at the training tutorial, it implies that this isn't an issue at all. When using multi-word entities, you typically need to use a IOB or BILUO tagging schemes, which helps your …

What you are trying to do here is named-entity recognition. Namely, the task consists of classifying substrings into a set of named entities (i.e. person, location, etc.). From a more formal perspecti …

It is not necessarily a red flag. Of course, without seeing the code, it is impossible to say that for sure. What is likely happening here is that adding parameters to your model, it makes it harder …

Using dependency parsing alone will not give you what you need. You may be able to get your answer by interpreting the dependency tree. For instance, in this case ABC-EFG GROUP Inc. is a pobj of betwe …