BanglaNER

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

2. Rifat1493 Bangla NER Dataset Link

3. SemEval2022 Bangla NER Dataaset Link

More Detail about the model check github.

Reference

1. Spacy Training Pipelines & Models

2. NER data annotation

3. BERT Pretrin model

4. BILOU data formats meaning

5. SpaCy 3.1 data format

6. Tranformer infornation

7. Load Gensim WordVectors into spacy pipeline