| [nlp] |
| lang = "fr" |
| pipeline = ["normalizer", "sentences", "transformer", "text_cnn", "ner"] |
|
|
| [nlp.tokenizer] |
| @tokenizers = "spacy.Tokenizer.v1" |
|
|
| [components] |
|
|
| [components.normalizer] |
| @factory = "eds.normalizer" |
|
|
| [components.sentences] |
| @factory = "eds.sentences" |
|
|
| [components.transformer] |
| @factory = "eds.transformer" |
| model = "./transformer" |
| window = 510 |
| stride = 382 |
|
|
| [components.text_cnn] |
| @factory = "eds.text_cnn" |
| embedding = ${components.transformer} |
| kernel_sizes = (3, 12) |
| residual = true |
| normalize = "pre" |
|
|
| [components.ner] |
| @factory = "eds.ner_crf" |
| embedding = ${components.text_cnn} |
| labels = ["epilepsie_1er_symptome", "ceph_hic_1er_symptome", "ceph_hic", "deficit_1er_symptome", "deficit", "cognitif_1er_symptome", "cognitif", "autre_trouble_1er_symptome", "contraste_1er_symptome", "prise_de_contraste", "oedeme_1er_symptome", "calcif_1er_symptome", "epilepsie", "autre_trouble", "evol_clinique", "progress_clinique", "progress_radiologique", "reponse_radiologique"] |
| infer_span_setter = true |
| mode = "joint" |
| window = 0 |
| stride = 0 |
|
|
| [components.ner.target_span_getter] |
| ents = true |
|
|
| [components.ner.span_setter] |
| ents = ["autre_trouble", "autre_trouble_1er_symptome", "calcif_1er_symptome", "contraste_1er_symptome", "deficit_1er_symptome", "epilepsie", "epilepsie_1er_symptome", "evol_clinique", "oedeme_1er_symptome", "prise_de_contraste", "progress_clinique", "progress_radiologique", "reponse_radiologique"] |
|
|
|
|
