@inproceedings{006d417614964d98a4545b783c9bdfc2,
title = "Annotating and Training for Population Subjective Views",
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.",
author = "Maria Alexeeva and Hyland, {Caroline Campbell} and Keith Alcock and {Beal Cohen}, {Allegra A.} and Hubert Kanyamahanga and Anni, {Isaac Kobby} and Mihai Surdeanu",
note = "Publisher Copyright: {\textcopyright} 2023 Association for Computational Linguistics.; 13th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2023 ; Conference date: 14-07-2023",
year = "2023",
language = "English (US)",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "416--430",
editor = "Jeremy Barnes and {De Clercq}, Orphee and Roman Klinger",
booktitle = "WASSA 2023 - 13th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop",
}