Papers by Jamin Chen

1 papers
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning (D19-1)

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Challenge: empowering machines with the ability to perform commonsense reasoning has been seen as the bottleneck of artificial general intelligence .
Approach: They propose a textual inference framework that uses external commonsense knowledge graphs to answer commonsensical questions.
Outcome: The proposed framework is based on graph convolutional networks and LSTMs with a hierarchical path-based attention mechanism.

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