Papers with general commonsense reading task

1 papers
Toward Building a Language Model for Understanding Temporal Commonsense (2022.aacl-srw)

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Challenge: Pre-trained language models such as BERT are still poor in temporal reasoning . commonsense reasoning is crucial for natural language processing (NLP)
Approach: They propose to use multi-step fine-tuning and masked language modeling to predict mangled temporal indicators that are crucial for commonsense reasoning.
Outcome: The proposed model improves performance on multiple time-related tasks.

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