initial model commit

README.md

@@ -11,9 +11,9 @@ inference: false
 
 ## 4-Language NER in Flair (English, German, Dutch and Spanish)
 
-This is the standard 4-class NER model for 4 CoNLL-03 languages that ships with [Flair](https://github.com/flairNLP/flair/). Also kind of works for related languages like French.
+This is the fast 4-class NER model for 4 CoNLL-03 languages that ships with [Flair](https://github.com/flairNLP/flair/). Also kind of works for related languages like French.
 
-F1-Score: **92,16** (CoNLL-03 English), **87,33** (CoNLL-03 German revised), **88,96** (CoNLL-03 Dutch), **86,65** (CoNLL-03 Spanish)
+F1-Score: **91,51** (CoNLL-03 English), **85,72** (CoNLL-03 German revised), **86,22** (CoNLL-03 Dutch), **85,78** (CoNLL-03 Spanish)
 
 
 Predicts 4 tags:
@@ -38,7 +38,7 @@ from flair.data import Sentence
 from flair.models import SequenceTagger
 
 # load tagger
-tagger = SequenceTagger.load("flair/ner-multi")
+tagger = SequenceTagger.load("flair/ner-multi-fast")
 
 # make example sentence in any of the four languages
 sentence = Sentence("George Washington ging nach Washington")
@@ -101,10 +101,10 @@ embedding_types = [
     WordEmbeddings('de'),
 
     # contextual string embeddings, forward
-    FlairEmbeddings('multi-forward'),
+    FlairEmbeddings('multi-forward-fast'),
 
     # contextual string embeddings, backward
-    FlairEmbeddings('multi-backward'),
+    FlairEmbeddings('multi-backward-fast'),
 ]
 
 # embedding stack consists of Flair and GloVe embeddings
@@ -124,7 +124,7 @@ from flair.trainers import ModelTrainer
 trainer = ModelTrainer(tagger, corpus)
 
 # 7. run training
-trainer.train('resources/taggers/ner-multi',
+trainer.train('resources/taggers/ner-multi-fast',
               train_with_dev=True,
               max_epochs=150)
 ```
@@ -135,7 +135,18 @@ trainer.train('resources/taggers/ner-multi',
 
 ### Cite
 
-Please cite the following paper when using this model.
+Please cite the following papers when using this model.
+
+
+```
+@misc{akbik2019multilingual,
+  title={Multilingual sequence labeling with one model},
+  author={Akbik, Alan and Bergmann, Tanja and Vollgraf, Roland}
+  booktitle = {{NLDL} 2019, Northern Lights Deep Learning Workshop},
+  year      = {2019}
+}
+```
+
 
 ```
 @inproceedings{akbik2018coling,