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CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension

https://doi.org/10.1145/3658673
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
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Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text
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MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning
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Explicit Planning Helps Language Models in Logical Reasoning
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inferredcites →https://doi.org/10.18653/v1/d19-1openalex-snapshot
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
inferredcites →https://doi.org/10.18653/v1/n18-1openalex-snapshot
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/p17-1018openalex-snapshot
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inferredcites →https://doi.org/10.3390/app9183698openalex-snapshot
Neural Machine Reading Comprehension: Methods and Trends

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