The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks
Open accessAbstract
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun Zhao. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.
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Cites
Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
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
Improving neural networks by preventing co-adaptation of feature detectors
Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. R. (2012) · arXiv · doi:10.48550/arxiv.1207.0580 · Cited by 6,382
ADADELTA: An Adaptive Learning Rate Method
Zeiler, M. D. (2012) · arXiv · doi:10.48550/arxiv.1212.5701 · Cited by 5,322
Cited by
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
Young, T., Hazarika, D., Poria, S., & Cambria, E. (2018) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2018.2840738 · Cited by 2,921
A Survey of the Usages of Deep Learning for Natural Language Processing
Otter, D. W., Medina, J. R., & Kalita, J. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.2979670 · Cited by 1,836
Deep Learning for Extreme Multi-label Text Classification
Liu, J., Chang, W.-C., Wu, Y., & Yang, Y. (2017) · Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1145/3077136.3080834 · Cited by 676
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
Text feature extraction based on deep learning: a review
Liang, H., Sun, X., Sun, Y., & Gao, Y. (2017) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-017-0993-1 · Cited by 373
Metadata
- Authors
- Chen, Y., Xu, L., Liu, K., Zeng, D., & Zhao, J.
- Venue
- Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Published
- 2015
- Pages
- 167-176
- OpenAlex
- W2250999640
- Cited by
- 906
- References
- 4
- FWCI
- 22.54
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Chen, Y., Xu, L., Liu, K., Zeng, D., & Zhao, J. (2015). Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). https://doi.org/10.3115/v1/p15-1017
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