The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph
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User intents are a crucial source of information for E-Commerce.
“User intents are a crucial source of information for E-Commerce (Deng et al., 2023;Er-Rahmadi et al., 2023;Zhang et al., 2016;Hao et al., 2022).”
From A Usage-centric Take on Intent Understanding in E-Commerce (2024) · cites this paper as Deng et al., 2023
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., & Liu, P. J. (2019) · arXiv · doi:10.48550/arxiv.1910.10683 · Cited by 10,929
Knowledge Graph Embedding by Translating on Hyperplanes
Wang, Z., Zhang, J., Feng, J., & Chen, Z. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v28i1.8870 · Cited by 3,915
Complex Embeddings for Simple Link Prediction
Trouillon, T., Welbl, J., Riedel, S., Gaussier, É., & Bouchard, G. (2016) · arXiv · doi:10.48550/arxiv.1606.06357 · Cited by 2,100
TuckER: Tensor Factorization for Knowledge Graph Completion
Balazevic, I., Allen, C., & Hospedales, 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/d19-1522 · Cited by 696 · cited 6×
“We notice that TuckER can archive higher Hits@K and MRR scores due to the powerful representation ability of tucker decomposition.”
BackgroundMethodInfluentialKEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Wang, X., Gao, T., Zhu, Z., Zhang, Z., Liu, Z., Li, J., & Tang, J. (2021) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00360 · Cited by 676
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Cited by
Sorted by citations
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., & Wu, X. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3352100 · Cited by 1,376
A Usage-centric Take on Intent Understanding in E-Commerce
Zhou, W., Li, T., Vougiouklis, P., Steedman, M., & Pan, J. Z. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2024.emnlp-main.14 · Cited by 1
Self-citation
Metadata
- Authors
- Deng, S., Wang, C., Li, Z., Zhang, N., Dai, Z., Chen, H., Xiong, F., Yan, M., Chen, Q., Chen, M., Chen, J., Pan, J. Z., Hooi, B., & Chen, H.
- Affiliations
- National University of Singapore,Singapore
- Alibaba Group,Hangzhou,China
- Zhejiang University,Hangzhou,China
- Zhejiang University,China
- University of Manchester,United Kingdom
- University of Edinburgh,United Kingdom
- Venue
- 2023 IEEE 39th International Conference on Data Engineering (ICDE)
- Publisher
- IEEE
- Published
- 2023-04
- Pages
- 2988-3002
- Cited by
- 18
- References
- 5
- Funders
- National Natural Science Foundation of China
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