[89] Adina Williams, Nikita Nangia, and Samuel Bowman. A broad-coverage challenge corpus for sentence understanding through inference. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 1112–1122, New Orleans, Louisiana, June 2018. Association for Computational Linguistics. doi: 10.18653/v1/N18-1101. URL https://aclanthology.org/N18-1101.
[90] Zhaofeng Wu. Learning with latent structures in natural language processing: A survey. arXiv preprint arXiv:2201.00490, 2022.
[91] Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and Philip S. Yu. A comprehensive survey on graph neural networks. IEEE Transactions on Neural Networks and Learning Systems, 32(1):4-24, 2021. doi: 10.1109/TNNLS.2020.2978386.
[92] Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, and Zheng Zhang. Bp-transformer: Modelling long-range context via binary partitioning. arXiv preprint arXiv:1911.04070, 2019.
[93] Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, and Wang Ling. Learning to compose words into sentences with reinforcement learning. In 5th International Conference on Learning Representations, ICLR 2017, Toulouse, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net, 2017.
[94] Fabio Massimo Zanzotto, Andrea Santilli, Leonardo Ranaldi, Dario Onorati, Pierfrancesco Tommasino, and Francesca Fallucchi. KERMIT: Complementing transformer architectures with encoders of explicit syntactic interpretations. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 256-267, Online, November 2020. Association for Computational Linguistics. doi: 10.18653/v1/2020.emnlp-main.18. URL https://aclanthology.org/2020.emnlp-main.18.
[95] Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, and SHUAI ZHANG. Self-instantiated recurrent units with dynamic soft recursion. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan, editors, Advances in Neural Information Processing Systems, volume 34, pages 6503-6514. Curran Associates, Inc., 2021. URL https://proceedings.neurips.cc/paper/2021/file/3341f6f048384ec73a7ba2e77d2db48b-Paper.pdf.
[96] Yu Zhang, Qingrong Xia, Shilin Zhou, Yong Jiang, Guohong Fu, and Min Zhang. Semantic role labeling as dependency parsing: Exploring latent tree structures inside arguments. In Proceedings of the 29th International Conference on Computational Linguistics, pages 4212-4227, Gyeongju, Republic of Korea, October 2022. International Committee on Computational Linguistics. URL https://aclanthology.org/2022.coling-1.370.
[97] Yuan Zhang, Jason Baldridge, and Luheng He. PAWS: Paraphrase adversaries from word scrambling. In 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), pages 1298-1308, Minneapolis, Minnesota, June 2019. Association for Computational Linguistics. doi: 10.18653/v1/N19-1131. URL https://aclanthology.org/N19-1131.
[98] Xiaodan Zhu, Parinaz Sobihani, and Hongyu Guo. Long short-term memory over recursive structures. In Francis Bach and David Blei, editors, Proceedings of the 32nd International Conference on Machine Learning, volume 37 of Proceedings of Machine Learning Research, pages 1604–1612, Lille, France, 07–09 Jul 2015. PMLR. URL https://proceedings.mlr.press/v37/zhub15.html.
[99] Xiaodan Zhu, Parinaz Sobhani, and Hongyu Guo. DAG-structured long short-term memory for semantic compositionality. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 917–926, San Diego, California, June 2016. Association for Computational Linguistics. doi: 10.18653/v1/N16-1106. URL https://aclanthology.org/N16-1106.