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Dimensions of Commonsense Knowledge
Commonsense knowledge is essential for many AI applications, including t...
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Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection
Conditional text generation has been a challenging task that is yet to s...
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Audio-Visual Event Recognition through the lens of Adversary
As audio/visual classification models are widely deployed for sensitive ...
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Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering
Recent developments in pre-trained neural language modeling have led to ...
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Neuro-symbolic Architectures for Context Understanding
Computational context understanding refers to an agent's ability to fuse...
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Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
Non-extractive commonsense QA remains a challenging AI task, as it requi...
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Kaixin Ma
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