Semi-End-to-End Nested Named Entity Recognition from Speech

Author:

Zhang Min,Qiao XiaoSong,Zhao Yanqing,Su Chang,Li Yuang,Li Yinglu,Piao Mengyao,Peng Song,Tao Shimin,Yang Hao

Publisher

Springer Nature Singapore

Reference31 articles.

1. Bu, H., Du, J., Na, X., Wu, B., Zheng, H.: Aishell-1: an open-source mandarin speech corpus and a speech recognition baseline. In: 2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA), pp. 1–5 (2017)

2. Caubrière, A., Rosset, S., Estève, Y., Laurent, A., Morin, E.: Where are we in named entity recognition from speech? In: Proceedings of the Twelfth Language Resources and Evaluation Conference. pp. 4514–4520. European Language Resources Association, Marseille (2020). https://aclanthology.org/2020.lrec-1.556

3. Chen, B., Xu, G., Wang, X., Xie, P., Zhang, M., Huang, F.: AISHELL-NER: named entity recognition from Chinese speech. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23–27 May 2022, pp. 8352–8356. IEEE (2022). https://doi.org/10.1109/ICASSP43922.2022.9746955

4. Walker, C., Stephanie Strassel, J.M., Maeda, K.: ACE 2005 Multilingual Training Corpus. Linguistic Data Consortium, Philadelphia 57 (2006)

5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol. 1 (Long and Short Papers), pp. 4171–4186. Association for Computational Linguistics, Minneapolis (2019). https://doi.org/10.18653/v1/N19-1423. https://aclanthology.org/N19-1423

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