Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation

Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao. Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 2917-2928, Association for Computational Linguistics, 2023. [doi]

@inproceedings{LiWLZM23,
  title = {Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation},
  author = {Jiaang Li and Quan Wang and Yi Liu and Licheng Zhang and Zhendong Mao},
  year = {2023},
  url = {https://aclanthology.org/2023.emnlp-main.177},
  researchr = {https://researchr.org/publication/LiWLZM23},
  cites = {0},
  citedby = {0},
  pages = {2917-2928},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-060-8},
}