Set expansion using sibling relations between semantic categories

Sho Takase, Naoaki Okazaki, Kentaro Inui

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

1 Citation (Scopus)

Abstract

Most set expansion algorithms assume to acquire new instances of different semantic categories independently even when we have seed instances of multiple semantic categories. However, in the setting of set expansion with multiple semantic categories, we might leverage other types of prior knowledge about semantic categories. In this paper, we present a method of set expansion when ontological information related to target semantic categories is available. More specifically, the proposed method makes use of sibling relations between semantic categories as an additional type of prior knowledge. We demonstrate the effectiveness of sibling relations in set expansion on the dataset in which instances and sibling relations are extracted from Wikipedia in a semi-automatic manner.

Original languageEnglish
Title of host publicationProceedings of the 26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012
Pages525-534
Number of pages10
Publication statusPublished - 2012 Dec 1
Event26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012 - Bali, Indonesia
Duration: 2012 Nov 72012 Nov 7

Publication series

NameProceedings of the 26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012

Other

Other26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012
CountryIndonesia
CityBali
Period12/11/712/11/7

ASJC Scopus subject areas

  • Information Systems
  • Software

Fingerprint Dive into the research topics of 'Set expansion using sibling relations between semantic categories'. Together they form a unique fingerprint.

Cite this