Papers by Wanguo Jiang

1 papers
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering (2022.findings-emnlp)

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Challenge: Empirical results show that pre-trained language models can improve the typical answer generation of GLMs.
Approach: They propose a ranking strategy that exploits WordNet to train a ranker that picks out the most popular answers for commonsense questions.
Outcome: The proposed ranking strategy is tested on a commonsense question answering (QA) dataset and on negative samples from WordNet.

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