Hybrid Deep Learning CNN-Bidirectional LSTM and Manhattan Distance for Japanese Automated Short Answer Grading: Use case in Japanese Language Studies - researchr publication

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Anak Agung Putri Ratna, Prima Dewi Purnamasari, Nadhifa Khalisha Anandra, Dyah Lalita Luhurkinanti. Hybrid Deep Learning CNN-Bidirectional LSTM and Manhattan Distance for Japanese Automated Short Answer Grading: Use case in Japanese Language Studies. In The 8th International Conference on Communication and Information Processing, ICCIP 2022, Beijing, China, November 3-5, 2022. pages 22-27, ACM, 2022. [doi]

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