I want to use the new relations interface to train the spacy dependency parser and i have a few questions:
- If i annotate a given sentence sparsely (not annotating every relation found in the sentence but only a few randomly selected ones), would that affect the training of the spacy model, as compared to annotating each sentence fully (annotating every relationship possible in every sentence in the dataset).
- If i create custom relations between multi-token entities, will the spacy model learn to identify these multi-token entities and the relations. For example: There is a cyst in the liver measuring 4 x 4 cm. The relation being between 'cyst', and the measurement '4 x 4 cm'
- When the spacy model is being trained, is each relation in a given sentence treated as an independent event, i.e. the prediction by the model of a relationship between two tokens is not dependent on any other token or relationship present in the sentence.
Hoping to hear from you soon!