I want to train a Named Entity Recognition model, particularly a neural network. I have two kinds of training samples. The first kind is self-contained sentences e.g., "Apple is looking at buying U.K. startup for $1 billion ". This is an example taken from SpaCy (https://spacy.io/usage/linguistic-features#named-entities 10). On the other hand, the second type of examples are like this: “Musicians may enjoy Italy a scenic city that”, not self-contained sentence, that has not a proper structure. And maybe some other sentences be like this: “by a glacier”.
My dataset contains both kind of training samples shuffled. The unstructured sentences are a problem? And if so, why?
Thank you.