2024
DOI: 10.3233/jifs-234417
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Combining permuted language model and adversarial training for Chinese machine reading comprehension

Jianping Liu,
Xintao Chu,
Jian Wang
et al.

Abstract: Due to the polysemy and complexity of the Chinese language, Chinese machine reading comprehension has always been a challenging task. To improve the semantic understanding and robustness of Chinese machine reading comprehension models, we propose a model that utilizes adversarial training algorithms and Permuted Language Model (PERT). Firstly, we employ the PERT pre-training model to embed paragraphs and questions into vector space to obtain corresponding sequential representations. Secondly, we use a multi-he… Show more

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