The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
Open accessAbstract
We consider the task of named entity recognition for Chinese social media.The long line of work in Chinese NER has focused on formal domains, and NER for social media has been largely restricted to English.We present a new corpus of Weibo messages annotated for both name and nominal mentions.Additionally, we evaluate three types of neural embeddings for representing Chinese text.Finally, we propose a joint training objective for the embeddings that makes use of both (NER) labeled and unlabeled raw text.Our methods yield a 9% improvement over a stateof-the-art baseline.
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Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1310.4546 · Cited by 24,533
A unified architecture for natural language processing: deep neural networks with multitask learning
Collobert, R., & Weston, J. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08 · doi:10.1145/1390156.1390177 · Cited by 5,058
Cited by
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Ma, X., & Hovy, E. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p16-1101 · Cited by 2,567
A Comprehensive Overview of Large Language Models
Naveed, H., Khan, A. U., Qiu, S., Saqib, M., Anwar, S., Usman, M., Akhtar, N., Barnes, N., & Mian, A. (2025) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3744746 · Cited by 1,257
FLAT: Chinese NER Using Flat-Lattice Transformer
Li, X., Yan, H., Qiu, X., & Huang, X. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.611 · Cited by 441
Unified Named Entity Recognition as Word-Word Relation Classification
Li, J., Fei, H., Liu, J., Wu, S., Zhang, M., Teng, C., Ji, D., & Li, F. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i10.21344 · Cited by 394
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Sun, Y., Wang, S., Feng, S., Ding, S., Pang, C., Shang, J., Liu, J., Chen, X., Zhao, Y., Lu, Y., et al. (2021) · arXiv · doi:10.48550/arxiv.2107.02137 · Cited by 186
Metadata
- Authors
- Peng, N., & Dredze, M.
- Venue
- Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Published
- 2015
- Pages
- 548-554
- OpenAlex
- W2250709962
- Cited by
- 394
- References
- 2
- FWCI
- 8.14
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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