Lights, camera, action: Knowledge extraction from movie scripts

Niket Tandon, Gerard De Melo, Abir De, Gerhard Weikum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

With the success of large knowledge graphs, research on automatically acquiring commonsense knowledge is revived. One kind of knowledge that has not received attention is that of human activities. This paper presents an information extraction pipeline for systematically distilling activity knowledge from a corpus of movie scripts. Our semantic frames capture activities together with their participating agents and their typical spatial, temporal and sequential contexts. The resulting knowledge base comprises about 250,000 activities with links to specific movie scenes where they occur.

Original languageEnglish (US)
Title of host publicationWWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages127-128
Number of pages2
ISBN (Electronic)9781450334730
DOIs
StatePublished - May 18 2015
Externally publishedYes
Event24th International Conference on World Wide Web, WWW 2015 - Florence, Italy
Duration: May 18 2015May 22 2015

Publication series

NameWWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web

Other

Other24th International Conference on World Wide Web, WWW 2015
Country/TerritoryItaly
CityFlorence
Period5/18/155/22/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

Keywords

  • Activity Knowledge
  • Commonsense Knowledge Acquisition

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