Knowledge Commons of Institute of Automation,CAS
CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models | |
Wang, Chenhao1,2![]() ![]() ![]() ![]() | |
2022 | |
会议名称 | Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing |
会议日期 | 2022-12 |
会议地点 | Abu Dhabi, United Arab Emirates |
摘要 | Commonsense knowledge graphs (CKGs) are increasingly applied in various natural language processing tasks. However, most existing CKGs are limited to English, which hinders related research in non-English languages. Meanwhile, directly generating commonsense knowledge from pretrained language models has recently received attention, yet it has not been explored in non-English languages. In this paper, we propose a large-scale Chinese CKG generated from multilingual PLMs, named as **CN-AutoMIC**, aiming to fill the research gap of non-English CKGs. To improve the efficiency, we propose generate-by-category strategy to reduce invalid generation. To ensure the filtering quality, we develop cascaded filters to discard low-quality results. To further increase the diversity and density, we introduce a bootstrapping iteration process to reuse generated results. Finally, we conduct detailed analyses on CN-AutoMIC from different aspects. Empirical results show the proposed CKG has high quality and diversity, surpassing the direct translation version of similar English CKGs. We also find some interesting deficiency patterns and differences between relations, which reveal pending problems in commonsense knowledge generation. We share the resources and related models for further study. |
收录类别 | EI |
七大方向——子方向分类 | 自然语言处理 |
国重实验室规划方向分类 | 语音语言处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56699 |
专题 | 复杂系统认知与决策实验室 |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.Beijing Academy of Artificial Intelligence |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Wang, Chenhao,Li, Jiachun,Chen, Yubo,et al. CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models[C],2022. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2022.emnlp-main.628 (848KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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