融入事件知识的汉语-越南语跨语言事件检索

Chinese-Vietnamese Cross-Language Event Retrieval Incorporating Event Knowledge

汉语-越南语跨语言事件检索任务是指根据输入的汉语查询检索表达相同事件的越南语文档.现有的跨语言检索模型在汉语-越南语低资源检索上对齐效果不佳,并且单纯的语义匹配检索难以理解复杂查询的事件语义信息.针对目标问题,文中提出融入事件知识的汉语-越南语跨语言事件检索模型,构建汉语-越南语跨语言事件预训练模块,进行持续的预训练,改善模型在汉语-越南语低资源语言上的表征效果.并且基于对比学习,对事件知识的掩盖预测值与真实值进行差异判别,促使模型更好地理解和捕捉事件知识特征.在跨语言事件检索任务和问答任务上的实验表明,文中方法性能有所提升.

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.