Rethinking Positional Encoding in Tree Transformer for Code Representation - researchr publication authors

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Han Peng, Ge Li 0001, Yunfei Zhao, Zhi Jin. Rethinking Positional Encoding in Tree Transformer for Code Representation. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 3204-3214, Association for Computational Linguistics, 2022. [doi]

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