VTCC-NER at SemEval-2023 Task 6: An Ensemble Pre-trained Language Models for Named Entity Recognition
Quang-Minh Tran, Xuan-Dung Doan
The 17th International Workshop on Semantic Evaluation (SemEval-2023) Task 6: legaleval: understanding legal texts Paper
TLDR:
We propose an ensemble method that combines several pre-trained language models to enhance entity recognition in legal text. Our approach achieved a 90.9873\% F1 score on the private test set, ranking 2nd on the leaderboard for SemEval 2023 Task 6, Subtask B - Legal Named Entities Extraction.
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Abstract:
We propose an ensemble method that combines several pre-trained language models to enhance entity recognition in legal text. Our approach achieved a 90.9873\% F1 score on the private test set, ranking 2nd on the leaderboard for SemEval 2023 Task 6, Subtask B - Legal Named Entities Extraction.