Janko at SemEval-2023 Task 2: Bidirectional LSTM Model Based on Pre-training for Chinese Named Entity Recognition
J. J. Li, Zhengyi Guan, Haiyan Ding · 2023
This paper describes the method we submitted as the Janko team in the SemEval-2023 Task 2, Multilingual Complex Named Entity Recognition (MultiCoNER 2).We only participated in the Chinese track.In this paper, we implement the BERT-BiLSTM-RDrop model.We use the fine-tuned BERT models, take the output of BERT as the input of the BiLSTM network, and finally use R-Drop technology to optimize the loss function.Our submission achieved a macro-averaged F1 score of 0.579 on the test set.