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2023 SemEval SemEval 2023

VTCC-NER at SemEval-2023 Task 6: An Ensemble Pre-trained Language Models for Named Entity Recognition

Abstract

AbstractWe 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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Quang-Minh Tran, Xuan-Dung Doan

Topics

Artificial Intelligence > Core AI > Multimodal Learning Natural Language Processing > Understanding > Named Entity Recognition

Keywords

named entity recognition ensemble method pre-trained language model entity extraction legal text

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