A corpus study for identifying evidence on microblogs

Paul Reisert, Junta Mizuno, Miwa Kanno, Naoaki Okazaki, Kentaro Inui

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

Abstract

Microblogs are a popular way for users to communicate and have recently caught the attention of researchers in the natural language processing (NLP) field. However, regardless of their rising popularity, little attention has been given towards determining the properties of discourse relations for the rapid, large-scale microblog data. Therefore, given their importance for various NLP tasks, we begin a study of discourse relations on microblogs by focusing on evidence relations. As no annotated corpora for evidence relations on microblogs exist, we conduct a corpus study to identify such relations on Twitter, a popular microblogging service. We create annotation guidelines, conduct a large-scale annotation phase, and develop a corpus of annotated evidence relations. Finally, we report our observations, annotation difficulties, and data statistics.

Original languageEnglish
Title of host publicationLAW 2014 - 8th Linguistic Annotation Workshop, in conjunction with COLING 2014 - Proceedings of the Workshop
EditorsLori Levin, Manfred Stede
PublisherAssociation for Computational Linguistics (ACL)
Pages70-74
Number of pages5
ISBN (Electronic)9781941643297
Publication statusPublished - 2020 Jan 1
Event8th Linguistic Annotation Workshop, LAW 2014, in conjunction with COLING 2014 - Dublin, Ireland
Duration: 2014 Aug 232014 Aug 24

Publication series

NameLAW 2014 - 8th Linguistic Annotation Workshop, in conjunction with COLING 2014 - Proceedings of the Workshop

Conference

Conference8th Linguistic Annotation Workshop, LAW 2014, in conjunction with COLING 2014
CountryIreland
CityDublin
Period14/8/2314/8/24

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Fingerprint Dive into the research topics of 'A corpus study for identifying evidence on microblogs'. Together they form a unique fingerprint.

  • Cite this

    Reisert, P., Mizuno, J., Kanno, M., Okazaki, N., & Inui, K. (2020). A corpus study for identifying evidence on microblogs. In L. Levin, & M. Stede (Eds.), LAW 2014 - 8th Linguistic Annotation Workshop, in conjunction with COLING 2014 - Proceedings of the Workshop (pp. 70-74). (LAW 2014 - 8th Linguistic Annotation Workshop, in conjunction with COLING 2014 - Proceedings of the Workshop). Association for Computational Linguistics (ACL).