The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Joint Slot Filling and Intent Detection via Capsule Neural Networks
Open accessAbstract
Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding. The existing works either treat slot filling and intent detection separately in a pipeline manner, or adopt joint models which sequentially label slots while summarizing the utterance-level intent without explicitly preserving the hierarchical relationship among words, slots, and intents. To exploit the semantic hierarchy for effective modeling, we propose a capsule-based neural network model which accomplishes slot filling and intent detection via a dynamic routing-by-agreement schema. A re-routing schema is proposed to further synergize the slot filling performance using the inferred intent representation. Experiments on two real-world datasets show the effectiveness of our model when compared with other alternative model architectures, as well as existing natural language understanding services.
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 54,325
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Lafferty, J., McCallum, A., & Pereira, F. C. N. (2001) · ScholarlyCommons (University of Pennsylvania) · Cited by 12,935
Deep Contextualized Word Representations
Peters, M., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1202 · Cited by 11,983
Hinton, G. E., Krizhevsky, A., & Wang, S. D. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-21735-7_6 · Cited by 1,360
Long Short-Term Memory-Networks for Machine Reading
Cheng, J., Dong, L., & Lapata, M. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d16-1053 · Cited by 1,172
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Shen, T., Zhou, T., Long, G., Jiang, J., Pan, S., & Zhang, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11941 · Cited by 779
Self-citationAttention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
Liu, B., & Lane, I. (2016) · Interspeech 2016 · doi:10.21437/interspeech.2016-1352 · Cited by 709
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Goo, C.-W., Gao, G., Hsu, Y.-K., Huo, C.-L., Chen, T.-C., Hsu, K.-W., & Chen, Y.-N. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · doi:10.18653/v1/n18-2118 · Cited by 497
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Anantrasirichai, N., & Bull, D. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-021-10039-7 · Cited by 793
A review of deep learning techniques for speech processing
Mehrish, A., Majumder, N., Bharadwaj, R., Mihalcea, R., & Poria, S. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101869 · Cited by 389
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
Qin, L., Che, W., Li, Y., Wen, H., & Liu, T. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · doi:10.18653/v1/d19-1214 · Cited by 298
Self-citationKwabena Patrick, M., Felix Adekoya, A., Abra Mighty, A., & Edward, B. Y. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2019.09.014 · Cited by 282
Metadata
- Authors
- Zhang, C., Li, Y., Du, N., Fan, W., & Yu, P.
- Venue
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Published
- 2019
- Pages
- 5259-5267
- OpenAlex
- W2963033987
- Cited by
- 253
- References
- 20
- FWCI
- 16.43
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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