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README.md

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+# BanglaNER
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1uN1WP7MjaBYXKABfhkHGn7EBWm9kd9k9?usp=sharing)
+Bangla Name Entity Recognition (NER) is extracting human names from input Bangla string or text. To solve this problem select Spacy pipeline and try 5 experimental approaches.
+
+The experiment is done only using one entity name (person) labeled as PER. After completing the experiment we got the best performance from the spacy transformer-based model.
+
+For more detail please check the experimental details and Best model F1 score is ~.81.05.
+# Dataset
+
+Bangla NER data is collected from,
+
+1. banglakit Bangla NER Dataset [Link](https://raw.githubusercontent.com/banglakit/bengali-ner-data/master/main.jsonl)
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+2. Rifat1493 Bangla NER Dataset [Link](https://github.com/Rifat1493/Bengali-NER/tree/master/Input) 
+
+
+3. SemEval2022 Bangla NER Dataaset [Link](https://competitions.codalab.org/competitions/36425#learn_the_details)
+
+More Detail about the model check github.
+
+# Reference
+
+1. [Spacy Training Pipelines & Models](https://spacy.io/usage/training)
+2. [NER data annotation](https://doccano.github.io/doccano/tutorial/)
+
+3. [BERT Pretrin model ](https://github.com/csebuetnlp/banglabert)
+4. [BILOU data formats meaning](https://stackoverflow.com/questions/17116446/what-do-the-bilou-tags-mean-in-named-entity-recognition)
+5. [SpaCy 3.1 data format](https://zachlim98.github.io/me/2021-03/spacy3-ner-tutorial)
+6. [Tranformer infornation](https://jalammar.github.io/illustrated-transformer/)
+7. [Load Gensim WordVectors into spacy pipeline](https://stackoverflow.com/questions/75521069/load-gensim-wordvectors-into-spacy-pipeline)