LSJSP at SemEval-2023 Task 2: FTBC: A FastText based framework with pre-trained BERT for NER
Shilpa Chatterjee, Leo Evenss, Pramit Bhattacharyya, Joydeep Mondal · 2023
This study introduces the system submitted to the SemEval 2022 Task 2: MultiCoNER II (Multilingual Complex Named Entity Recognition) by the LSJSP team.We propose FTBC, a FastTextbased framework with pre-trained Bert for NER tasks with complex entities and over a noisy dataset.Our system achieves an average of 58.27% F1 score (fine-grained) and 75.79%F1 score (coarsegrained) across all languages.FTBC outperforms the baseline BERT-CRF model on all 12 monolingual tracks.