Information to Wisdom: Commonsense Knowledge Extraction and Compilation

Simon Razniewski, Niket Tandon, Aparna S. Varde

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationWSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
PublisherAssociation for Computing Machinery, Inc
Pages1143-1146
Number of pages4
ISBN (Electronic)9781450382977
DOIs
StatePublished - 3 Aug 2021
Event14th ACM International Conference on Web Search and Data Mining, WSDM 2021 - Virtual, Online, Israel
Duration: 8 Mar 202112 Mar 2021

Publication series

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

Conference

Conference14th ACM International Conference on Web Search and Data Mining, WSDM 2021
CountryIsrael
CityVirtual, Online
Period8/03/2112/03/21

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