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Annotating Speaker Stance in Discourse: The Brexit Blog Corpus

Vasiliki Simaki,C. Paradis,Maria Skeppstedt,Magnus Sahlgren,Kostiantyn Kucher,A. Kerren

Published 2017 in Corpus Linguistics and Linguistic Theory

ABSTRACT

Abstract The aim of this study is to explore the possibility of identifying speaker stance in discourse, provide an analytical resource for it and an evaluation of the level of agreement across speakers. We also explore to what extent language users agree about what kind of stances are expressed in natural language use or whether their interpretations diverge. In order to perform this task, a comprehensive cognitive-functional framework of ten stance categories was developed based on previous work on speaker stance in the literature. A corpus of opinionated texts was compiled, the Brexit Blog Corpus (BBC). An analytical protocol and interface (Active Learning and Visual Analytics) for the annotations was set up and the data were independently annotated by two annotators. The annotation procedure, the annotation agreements and the co-occurrence of more than one stance in the utterances are described and discussed. The careful, analytical annotation process has returned satisfactory inter- and intra-annotation agreement scores, resulting in a gold standard corpus, the final version of the BBC.

PUBLICATION RECORD

  • Publication year

    2017

  • Venue

    Corpus Linguistics and Linguistic Theory

  • Publication date

    2017-10-28

  • Fields of study

    Linguistics, Computer Science

  • Identifiers
    DOI 10.1515/cllt-2016-0060
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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