HUANG Yuxin1,2, DENG Tongjie1,2, YU Zhengtao1,2, XIAN Yantuan1,2
1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504; 2. Key Laboratory of Artificial Intelligence in Yunnan Province, Kunming University of Science and Technology, Kunming 650504
Abstract：The goal of Chinese-Vietnamese cross-language event retrieval task is to retrieve Vietnamese documents expressing the same event based on the input Chinese query. Existing cross-language retrieval models exhibit poor alignment in Chinese-Vietnamese low-resource retrieval, and simple semantic matching retrieval struggles to comprehend the event semantic information of complex queries. To address this issue, a Chinese-Vietnamese cross-language event retrieval method incorporating event knowledge is proposed. A Chinese-Vietnamese cross-language event pre-training module is built for continuous pre-training to improve the representation performance of the model on Chinese-Vietnamese low-resource languages. The difference between the masked predicted values and the true values of the event is discriminated based on contrastive learning to encourage the model to better understand and capture the event knowledge features. Experiments on cross-language event retrieval tasks and cross-language question-and-answer tasks demonstrate the performance improvement of the proposed method.
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2023, Vol. 36 
