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Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Research article (Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018) · cited 44× · AI/ML
Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
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Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension is a scholarly article[1].
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Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-attention-based-convolutional-and-recurrent-neural-networks-success-and-limitations-in-machine-reading-compreh
MLA“Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-attention-based-convolutional-and-recurrent-neural-networks-success-and-limitations-in-machine-reading-compreh.
BibTeX@misc{4ortxyz_comparing-attention-based-convolutional-and-recurrent-neural-networks-success-and-limitations-in-machine-reading-compreh_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-attention-based-convolutional-and-recurrent-neural-networks-success-and-limitations-in-machine-reading-compreh}, note = {Accessed: 2026-05-24}}
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