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NAF has a text layer for tokens (words) and a terms layers for terms, where in principle multiple tokens (New York) could form one term (New_York). However, as e2e works on token level but should be mapped to the terms, it only gives correct output if there are no multi-token terms. This is the case if we use stanza for creating the term layer.
We should check that this is the case if we read in NAF.
The text was updated successfully, but these errors were encountered:
NAF has a
text
layer for tokens (words) and aterms
layers for terms, where in principle multiple tokens (New York) could form one term (New_York). However, as e2e works on token level but should be mapped to the terms, it only gives correct output if there are no multi-token terms. This is the case if we use stanza for creating the term layer.We should check that this is the case if we read in NAF.
The text was updated successfully, but these errors were encountered: