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Computational context understanding refers to an agent's ability to fuse disparate sources of information for decision-making and is, therefore, generally regarded as a prerequisite for sophisticated machine reasoning capabilities, such as in artificial intelligence (AI).
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A standard model of the mind: Toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics
COMET: Commonsense transformers for automatic knowledge graph construction
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Knowledge graph embedding: A survey of approaches and applications
Wang, Q., Mao, Z., Wang, B., and Guo, L · 2017
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Commonsense for generative multi-hop question answering tasks
Bauer, L., Wang, Y., and Bansal, M · 2018
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Knowledgeable reader: Enhancing cloze-style reading comprehension with external commonsense knowledge
Mihaylov, T., and Frank, A · 2018
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SemEval-2018 task 11: Machine comprehension using commonsense knowledge
Ostermann, S., Roth, M., Modi, A., Thater, S., and Pinkal, M · 2018
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Towards understanding the geometry of knowledge graph embeddings
Sharma, A., Talukdar, P., et al · 2018
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SWAG: A large-scale adversarial dataset for grounded commonsense inference
Zellers, R., Bisk, Y., Schwartz, R., and Choi, Y · 2018
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Artificial intelligence, autonomy, and human-machine teams: Interdependence, context, and explainable ai
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Kagnet: Knowledge-aware graph networks for commonsense reasoning
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Roberta: A robustly optimized BERT pretraining approach
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Towards generalizable neuro-symbolic systems for commonsense question answering
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Knowledge graph embedding for ecotoxicological effect prediction
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Option comparison network for multiple-choice reading comprehension
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Atomic: An atlas of machine commonsense for if-then reasoning
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Dream: A challenge dataset and models for dialogue-based reading comprehension
Sun, K., Yu, D., Chen, J., Yu, D., Choi, Y., and Cardie, C · 2019
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CommonsenseQA: A question answering challenge targeting commonsense knowledge
Talmor, A., Herzig, J., Lourie, N., and Berant, J · 2019
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HellaSwag: Can a machine really finish your sentence?
Zellers, R., Holtzman, A., Bisk, Y., Farhadi, A., and Choi, Y · 2019
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An evaluation of knowledge graph embeddings for autonomous driving data: Experience and practice
Wickramarachchi, R., Henson, C., and Sheth, A · 2020
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