Chenfiona的个人博客分享 http://blog.sciencenet.cn/u/Chenfiona

博文

MIR专题征稿 | 常识知识与推理:表示、获取与应用 (10月31日截稿)

已有 241 次阅读 2022-7-28 17:45 |个人分类:最新资讯|系统分类:博客资讯

Machine Intelligence Research (MIR)专题"Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications"现公开征集原创稿件,截稿日期为2022年10月31日。专题客座编委:中科院自动化所刘康研究员、香港科技大学宋阳秋教授、爱丁堡大学Jeff Z. Pan (潘志明)教授。欢迎赐稿!


Machine Intelligence Research (ISSN 2731-538X) seeks original manuscripts for a special issue on "Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications".


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 progress about deep learning, like Transformer, Pre-trained models, etc., has made amazing breakthroughs in many fields, including computer version, natural language learning, etc., letting the statistical models have the 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, like WordNet, Freebase, ConceptNet, BabelNet, etc., which describe multiple 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, although some of them have collected billions of instances. Considering these issues, the AI community has made recent efforts on building commonsense knowledge bases. 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.


​This special issue seeks original and novel contributions towards advancing the theory, methods, and applications for commonsense knowledge and reasoning. The special issue will provide a timely collection of recent advances to benefit the researchers and practitioners working in the broad research field of natural language processing, database, semantic web, and machine intelligence.


Topics of interest include (but are not limited to):

- The representation of commonsense knowledge

- Construction of commonsense knowledge bases

  - Complex concepts (such as negated concepts) in commonsense knowledge bases

- Pre-training models and commonsense knowledge bases

- Knowledge integration and linking

- Reasoning over commonsense knowledge

- Commonsense knowledge for  natural language inference

- Commonsense knowledge related applications including question answering, conversation, information retrieval, machine translations, etc.


​截稿日期:2022年10月31日

投稿地址(已开通)

https://mc03.manuscriptcentral.com/mir

投稿时,请在系统中选择:

“Step 6 Details & Comments: Special Issue and Special Section”---“Special Issue on Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications"


Prof. Kang Liu, Institute of Automation, Chinese Academy of Sciences, China (kliu@nlpr.ia.ac.cn)

Prof. Yangqiu Song, Hong Kong University of Science and Technology, Hong Kong (yqsong@cse.ust.hk) 

Prof. Jeff Z. Pan, The University of Edinburgh, United Kingdom (j.z.pan@ed.ac.uk)


​主编谭铁牛院士寄语, MIR第一期正式出版!

华南理工詹志辉团队 | 综述: 面向昂贵优化的进化计算
北科大殷绪成团队 | 弱相关知识集成的小样本图像分类
东南大学张敏灵团队 | 基于选择性特征增广的多维分类方法


联想CTO芮勇团队 | 知识挖掘:跨领域的综述

中科院自动化所何晖光团队 | 一种基于RGEC的新型网络
AI最前沿 | 聚焦知识挖掘、5G、强化学习等领域;来自联想研究院、中科院自动化所等团队


​喜报 | MIR被 ESCI 收录!

喜报 | MIR 被 EI 与 Scopus 数据库收录
新春喜报!MIR入选“中国科技核心期刊”



https://blog.sciencenet.cn/blog-749317-1349129.html

上一篇:智能科学创新讲堂 | 自动化所何晖光: 基于视觉信息编解码的深度学习类脑机制研究
下一篇:ETH Zurich重磅综述 | 人脸-素描合成:一个新的挑战
收藏 IP: 159.226.181.*| 热度|

0

该博文允许注册用户评论 请点击登录 评论 (0 个评论)

数据加载中...

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2022-10-3 12:11

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部