The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Chinese NER Using Lattice LSTM
Open accessAbstract
We investigate a lattice-structured LSTM model for Chinese NER, which encodes a sequence of input characters as well as all potential words that match a lexicon.Compared with character-based methods, our model explicitly leverages word and word sequence information.Compared with word-based methods, lattice LSTM does not suffer from segmentation errors.Gated recurrent cells allow our model to choose the most relevant characters and words from a sentence for better NER results.Experiments on various datasets show that lattice LSTM outperforms both word-based and character-based LSTM baselines, achieving the best results.
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Cites
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
Backpropagation Applied to Handwritten Zip Code Recognition
LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., & Jackel, L. D. (1989) · Neural Computation · doi:10.1162/neco.1989.1.4.541 · Cited by 11,891
Neural Architectures for Named Entity Recognition
Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., & Dyer, C. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · doi:10.18653/v1/n16-1030 · Cited by 4,401
Cited by
A Unified MRC Framework for Named Entity Recognition
Li, X., Feng, J., Meng, Y., Han, Q., Wu, F., & Li, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.519 · Cited by 697
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
Hung, J. C., & Chang, J.-W. (2021) · Applied Soft Computing · doi:10.1016/j.asoc.2021.107491 · Cited by 35
Chen, X., He, L., Hu, W., & Yi, S. (2025) · AI · doi:10.3390/ai6110290 · Cited by 2
Metadata
- Authors
- Zhang, Y., & Yang, J.
- Venue
- Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Published
- 2018
- Pages
- 1554-1564
- OpenAlex
- W2962904552
- Cited by
- 878
- References
- 3
- FWCI
- 31.52
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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