Annotating and Training for Population Subjective Views

Maria Alexeeva, Caroline Campbell Hyland, Keith Alcock, Allegra A. Beal Cohen, Hubert Kanyamahanga, Isaac Kobby Anni, Mihai Surdeanu

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

Abstract

In this paper, we present a dataset of subjective views (beliefs and attitudes) held by individuals or groups.1 We analyze the usefulness of the dataset by training a neural classifier that identifies belief-containing sentences that are relevant for our broader project of interest—scientific modeling of complex systems. We also explore and discuss difficulties related to annotation of subjective views and propose ways of addressing them.

Original languageEnglish (US)
Title of host publicationWASSA 2023 - 13th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop
EditorsJeremy Barnes, Orphee De Clercq, Roman Klinger
PublisherAssociation for Computational Linguistics (ACL)
Pages416-430
Number of pages15
ISBN (Electronic)9781959429876
StatePublished - 2023
Event13th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2023 - Toronto, Canada
Duration: Jul 14 2023 → …

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

Conference13th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2023
Country/TerritoryCanada
CityToronto
Period7/14/23 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

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