added Dutch NER

README.md

@@ -8,7 +8,7 @@
 
 ### News and Announcements
 - **2020-03-18:**  
-  - ***ktrain*** **v0.11.x is released** and includes various fixes and enhancements to sequence-tagging including abilty to easily use non-English pretrained word embeddings covering 157 languages
+  - ***ktrain*** **v0.11.x is released** and includes various fixes and enhancements to sequence-tagging including abilty to easily use non-English pretrained word embeddings covering 157 languages (e.g., [Dutch NER](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/examples/text/CoNLL2002_Dutch-BiLSTM.ipynb))
 - **2020-03-03:**  
   - ***ktrain*** **v0.10.x is released** and now includes [ready-to-use NER for English, Chinese, and Russian](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/examples/text/shallownlp-examples.ipynb) with no training required. 
   - **Also in v0.10.x:**  Ability to train [community-uploaded Hugging Face transformer models](https://huggingface.co/models) like [SciBERT](https://arxiv.org/abs/1903.10676) and  [BioBERT](https://arxiv.org/abs/1901.08746):
@@ -48,6 +48,7 @@ learner.fit_onecycle(3e-5, 1)
     - **graph node classification** with graph neural networks (e.g., [GraphSAGE](https://cs.stanford.edu/people/jure/pubs/graphsage-nips17.pdf)) <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/graphs/pubmed-GraphSAGE.ipynb)]</sup></sub>
 - perform multilingual text classification (e.g., [Chinese Sentiment Analysis with BERT](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/text/ChineseHotelReviews-BERT.ipynb), [Arabic Sentiment Analysis with NBSVM](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/text/ArabicHotelReviews-nbsvm.ipynb))
 - [Ready-to-Use NER for English, Chinese, and Russian](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/examples/text/shallownlp-examples.ipynb) (no training required)
+- Easily train NER models for any language (e.g., [Dutch NER](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/examples/text/CoNLL2002_Dutch-BiLSTM.ipynb) )
 - load and preprocess text and image data from a variety of formats 
 - inspect data points that were misclassified and [provide explanations](https://eli5.readthedocs.io/en/latest/) to help improve your model
 - leverage a simple prediction API for saving and deploying both models and data-preprocessing steps to make predictions on new raw data