Update README.md

README.md

@@ -67,21 +67,6 @@ So, the entities "*George Washington*" (labeled as a **person**) and "*Washingto
 
 ---
 
-### Cite
-
-Please cite the following paper when using this model.
-
-```
-@inproceedings{akbik2018coling,
-  title={Contextual String Embeddings for Sequence Labeling},
-  author={Akbik, Alan and Blythe, Duncan and Vollgraf, Roland},
-  booktitle = {{COLING} 2018, 27th International Conference on Computational Linguistics},
-  pages     = {1638--1649},
-  year      = {2018}
-}
-```
----
-
 ### Training: Script to train this model
 
 The following Flair script was used to train this model: 
@@ -133,4 +118,22 @@ trainer = ModelTrainer(tagger, corpus)
 trainer.train('resources/taggers/ner-english',
               train_with_dev=True,
               max_epochs=150)
+```
+
+
+
+---
+
+### Cite
+
+Please cite the following paper when using this model.
+
+```
+@inproceedings{akbik2018coling,
+  title={Contextual String Embeddings for Sequence Labeling},
+  author={Akbik, Alan and Blythe, Duncan and Vollgraf, Roland},
+  booktitle = {{COLING} 2018, 27th International Conference on Computational Linguistics},
+  pages     = {1638--1649},
+  year      = {2018}
+}
 ```