Information to Wisdom: Commonsense Knowledge Extraction and Compilation

Simon Razniewski; Niket Tandon; Aparna S. Varde

doi:10.1145/3437963.3441664

Information to Wisdom: Commonsense Knowledge Extraction and Compilation

Simon Razniewski, Niket Tandon, Aparna S. Varde

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

26 Scopus citations

Abstract

Commonsense knowledge is a foundational cornerstone of artificial intelligence applications. Whereas information extraction and knowledge base construction for instance-oriented assertions, such as Brad Pitt's birth date, or Angelina Jolie's movie awards, has received much attention, commonsense knowledge on general concepts (politicians, bicycles, printers) and activities (eating pizza, fixing printers) has only been tackled recently. In this tutorial we present state-of-the-art methodologies towards the compilation and consolidation of such commonsense knowledge (CSK). We cover text-extraction-based, multi-modal and Transformer-based techniques, with special focus on the issues of web search and ranking, as of relevance to the WSDM community.

Original language	English
Title of host publication	WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
Publisher	Association for Computing Machinery, Inc
Pages	1143-1146
Number of pages	4
ISBN (Electronic)	9781450382977
DOIs	https://doi.org/10.1145/3437963.3441664
State	Published - 3 Aug 2021
Event	14th ACM International Conference on Web Search and Data Mining, WSDM 2021 - Virtual, Online, Israel Duration: 8 Mar 2021 → 12 Mar 2021

Publication series

Name	WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining

Conference

Conference	14th ACM International Conference on Web Search and Data Mining, WSDM 2021
Country/Territory	Israel
City	Virtual, Online
Period	8/03/21 → 12/03/21

Access to Document

10.1145/3437963.3441664

Cite this

Razniewski, S., Tandon, N., & Varde, A. S. (2021). Information to Wisdom: Commonsense Knowledge Extraction and Compilation. In WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining (pp. 1143-1146). (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery, Inc. https://doi.org/10.1145/3437963.3441664

Razniewski, Simon ; Tandon, Niket ; Varde, Aparna S. / Information to Wisdom : Commonsense Knowledge Extraction and Compilation. WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, 2021. pp. 1143-1146 (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining).

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title = "Information to Wisdom: Commonsense Knowledge Extraction and Compilation",

abstract = "Commonsense knowledge is a foundational cornerstone of artificial intelligence applications. Whereas information extraction and knowledge base construction for instance-oriented assertions, such as Brad Pitt's birth date, or Angelina Jolie's movie awards, has received much attention, commonsense knowledge on general concepts (politicians, bicycles, printers) and activities (eating pizza, fixing printers) has only been tackled recently. In this tutorial we present state-of-the-art methodologies towards the compilation and consolidation of such commonsense knowledge (CSK). We cover text-extraction-based, multi-modal and Transformer-based techniques, with special focus on the issues of web search and ranking, as of relevance to the WSDM community.",

author = "Simon Razniewski and Niket Tandon and Varde, {Aparna S.}",

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Razniewski, S, Tandon, N & Varde, AS 2021, Information to Wisdom: Commonsense Knowledge Extraction and Compilation. in WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery, Inc, pp. 1143-1146, 14th ACM International Conference on Web Search and Data Mining, WSDM 2021, Virtual, Online, Israel, 8/03/21. https://doi.org/10.1145/3437963.3441664

Information to Wisdom: Commonsense Knowledge Extraction and Compilation. / Razniewski, Simon; Tandon, Niket; Varde, Aparna S.
WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, 2021. p. 1143-1146 (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Razniewski S, Tandon N, Varde AS. Information to Wisdom: Commonsense Knowledge Extraction and Compilation. In WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc. 2021. p. 1143-1146. (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining). doi: 10.1145/3437963.3441664

Information to Wisdom: Commonsense Knowledge Extraction and Compilation

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