常识如何用？WSDM2021「常识知识」这份教程讲述常识提取、方法与评估，附170页ppt与视频

常识性知识是人工智能应用的基础。尽管面向实例的断言的信息提取和知识库构建(例如布拉德·皮特的出生日期或安吉丽娜·朱莉的电影奖)已经得到了很多关注，但关于一般概念(政客、自行车、打印机)和活动(吃披萨、修理打印机)的常识直到最近才得到解决。在本教程中，我们为汇编和巩固这些常识知识(CSK)提供了最先进的方法。我们将介绍基于文本提取、多模态和基于Transformer的技术，特别关注与WSDM社区相关的web搜索和排名问题。

https://www.mpi-inf.mpg.de/commonsense-tutorial-wsdm-2021

视频：

目录内容：

09:00 IST	1. 常识知识介绍，Introduction to commonsense knowledge (Simon)
09:15 IST	2. Text extraction (Simon)
10:00 IST	3.多模态知识 Multimodal knowledge(Niket)
10:20 IST	4.深度学习技术  Deep learning-based techniques (Niket)
11:00 IST	5. 获取知识评估，Evaluation of the acquired knowledge (Aparna)
11:25 IST	6. Highlights, outlook and open issues (Aparna)

参考目录：

[1] Jo Best. IBM Watson: The inside story of how the Jeopardy-winning supercomputer was born, and what it wants to do next. TechRepublic, 2013.
[2] Sumithra Bhakthavatsalam, Chloe Anastasiades, and Peter Clark. Genericskb: A knowledge base of generic statements. arXiv preprint arXiv:2005.00660, 2020.
[3] Sumithra Bhakthavatsalam, Kyle Richardson, Niket Tandon, and Peter Clark. Do dogs have whiskers? a new knowledge base of haspart relations. arXiv preprint arXiv:2006.07510, 2020.
[4] Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. Comet: Commonsense transformers for automatic knowledge graph construction. arXiv preprint arXiv:1906.05317, 2019.
[5] Yohan Chalier, Simon Razniewski, and Gerhard Weikum. Joint reasoning for multi-faceted commonsense knowledge. AKBC, 2020.
[6] Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, and Siddhartha S. Srinivasa. Planning with trust for human-robot collaboration. In ACM/IEEE International Conference on Human-Robot Interaction HRI, pages 307–315, 2018.
[7] Xinlei Chen, Abhinav Shrivastava, and A. Gupta. Neil: Extracting visual knowledge from web data. 2013 IEEE International Conference on Computer Vision, pages 1409–1416, 2013.
[8] Sreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu, and Gerhard Weikum. VISIR: visual and semantic image label refinement. In ACM WSDM Conference, pages 117–125. ACM, 2018.
[9] Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, and Oyvind Tafjord. Think you have solved question answering? try
arc, the AI2 reasoning challenge. CoRR, abs/1803.05457, 2018.
[10] C. J. Conti, Aparna S. Varde, and Weitian Wang. Task quality optimization in collaborative robotics. In IEEE Big Data, 2020.

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