中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Editorial for Special Issue on Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications

文献类型:期刊论文

作者Kang Liu3; Yangqiu Song2; Jeff Z. Pan1
刊名Machine Intelligence Research
出版日期2024
卷号21期号:2页码:215-216
ISSN号2731-538X
DOI10.1007/s11633-024-1397-4
英文摘要Commonsense knowledge is an important resource for humans to understand the meanings or semantics of the data. The ability to learn and own commonsense knowledge is one of the major gaps between humans and machines. Although recent research progresses about deep learning, like Transformer, pre-trained models, etc., have made amazing breakthroughs in many fields, including computer version, natural language learning, etc., letting the machines have rich commonsense knowledge and possess the reasoning ability is still difficult and under-resolved. So far researchers continue to focus on building large-scale knowledge bases, such as WordNet, Freebase, ConceptNet, BabelNet, which include different knowledge types, such as concepts, entities, relations, events, and frames. However, they only build a few parts of commonsense knowledge types and cover limited scenarios. Considering these issues, the AI community has made recent efforts to build commonsense knowledge bases through different ways, including symbolic knowledge graphs and large language models. The focused and difficult problems include how to define and represent commonsense knowledge, how to acquire and learn commonsense knowledge, how to perform reasoning based on commonsense knowledge, how to apply commonsense knowledge for downstream applications, and so on.
源URL[http://ir.ia.ac.cn/handle/173211/56034]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.The University of Edinburgh, UK
2.Hongkong University of Science and Technology, China
3.Institute of Automation, Chinese Academy of Sciences, China
推荐引用方式
GB/T 7714
Kang Liu,Yangqiu Song,Jeff Z. Pan. Editorial for Special Issue on Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications[J]. Machine Intelligence Research,2024,21(2):215-216.
APA Kang Liu,Yangqiu Song,&Jeff Z. Pan.(2024).Editorial for Special Issue on Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications.Machine Intelligence Research,21(2),215-216.
MLA Kang Liu,et al."Editorial for Special Issue on Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications".Machine Intelligence Research 21.2(2024):215-216.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。