ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification - researchr publication authors

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Yen-Hao Huang, Yi-Hsin Chen, Yi-Shin Chen. ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification. In Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, YoungGyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na, editors, Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022. pages 1163-1168, International Committee on Computational Linguistics, 2022. [doi]

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