sdocio commited on
Commit
0c5818e
1 Parent(s): 863cbe2

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +50 -0
README.md CHANGED
@@ -1,3 +1,53 @@
1
  ---
 
2
  license: gpl-3.0
 
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language: es
3
  license: gpl-3.0
4
+ tags:
5
+ - spaCy
6
+ - Token Classification
7
+ widget:
8
+ - text: "Fue antes de llegar a Sigüeiro, en el Camino de Santiago."
9
+ - text: "El proyecto lo financia el Ministerio de Industria y Competitividad."
10
+ model-index:
11
+ - name: es_spacy_ner_cds
12
+ results: []
13
  ---
14
+
15
+ # Introduction
16
+
17
+ spaCy NER model trained in the domain of tourism related to the Way of Saint Jacques. It recognizes four types of entities: location (LOC), organizations (ORG), person (PER) and miscellaneous (MISC).
18
+
19
+ ## Usage
20
+
21
+ You can use this model with the spaCy *pipeline* for NER.
22
+
23
+ ```python
24
+ import spacy
25
+ from spacy.pipeline import merge_entities
26
+
27
+
28
+ nlp = spacy.load("es_spacy_ner_cds")
29
+ nlp.add_pipe('sentencizer')
30
+
31
+ example = "Fue antes de llegar a Sigüeiro, en el Camino de Santiago. El proyecto lo financia el Ministerio de Industria y Competitiv
32
+ idad."
33
+ ner_pipe = nlp(example)
34
+
35
+ print(ner_pipe.ents)
36
+ for token in merge_entities(ner_pipe):
37
+ print(token.text, token.ent_type_)
38
+ ```
39
+
40
+ ## Dataset
41
+
42
+ ToDo
43
+
44
+ ## Model performance
45
+
46
+ entity|precision|recall|f1
47
+ -|-|-|-
48
+ PER|0.942|0.890|0.915
49
+ ORG|0.869|0.688|0.768
50
+ LOC|0.975|0.987|0.981
51
+ MISC|0.854|0.757|0.803
52
+ micro avg|0.963|0.958|0.961
53
+ macro avg|0.910|0.831|0.867