[nlp]
lang = "es"
pipeline = ["ner"]

[nlp.tokenizer]
@tokenizers = "spacy.Tokenizer.v1"

[components]

[components.ner]
@factory = "eds.ner_crf"
mode = "joint"
target_span_getter = "gold_spans"
infer_span_setter = true
labels = ["DISEASE", "MEDICATION", "PROCEDURE", "SYMPTOM"]
window = 40
stride = 20

[components.ner.span_setter]
ents = true
* = true
gold_spans = ["DISEASE", "MEDICATION", "PROCEDURE", "SYMPTOM"]

[components.ner.embedding]
@factory = "eds.text_cnn"
kernel_sizes = [3]

[components.ner.embedding.embedding]
@factory = "eds.transformer"
model = "./ner/embedding/embedding"
window = 128
stride = 96