Feng, Rui, Luo, Chen, Yin, Qingyu, Yin, Bing, Zhao, Tuo, and Zhang, Chao. CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. Retrieved from https://par.nsf.gov/biblio/10353128. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Web. doi:10.18653/v1/2022.naacl-main.16.

Feng, Rui, Luo, Chen, Yin, Qingyu, Yin, Bing, Zhao, Tuo, & Zhang, Chao. CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, (). Retrieved from https://par.nsf.gov/biblio/10353128. https://doi.org/10.18653/v1/2022.naacl-main.16

Feng, Rui, Luo, Chen, Yin, Qingyu, Yin, Bing, Zhao, Tuo, and Zhang, Chao. "CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data". Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (). Country unknown/Code not available. https://doi.org/10.18653/v1/2022.naacl-main.16. https://par.nsf.gov/biblio/10353128.

@article{osti_10353128,
place = {Country unknown/Code not available}, title = {CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data}, url = {https://par.nsf.gov/biblio/10353128}, DOI = {10.18653/v1/2022.naacl-main.16}, abstractNote = {}, journal = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies}, author = {Feng, Rui and Luo, Chen and Yin, Qingyu and Yin, Bing and Zhao, Tuo and Zhang, Chao}, }