Named Entity Recognition on Military News using BERT tokenizer and BERT classifier
- Used an annotated corpus about military news
- Used attention/padding masks to increase model performance against short sentences
- Used PyTorch and BERT for classification, tokenizing, setting attention masks and tuning.
- Due to the fact that the hardware is not robust enough, only trained for just 3 epochs and reached %79 accuracy with a metric of classifying per word.