BeSt: The Belief and Sentiment Corpus
Jennifer Tracey, Owen Rambow, Claire Cardie, Adam Dalton, Hoa Trang Dang, Mona Diab, Bonnie Dorr, Louise Guthrie, Magdalena Markowska, Smaranda Muresan, Vinodkumar Prabhakaran, Samira Shaikh, Tomek Strzalkowski
Abstract
We present the BeSt corpus, which records cognitive state: who believes what (i.e., factuality), and who has what sentiment towards what. This corpus is inspired by similar source-and-target corpora, specifically MPQA and FactBank. The corpus comprises two genres, newswire and discussion forums, in three languages, Chinese (Mandarin), English, and Spanish. The corpus is distributed through the LDC.- Anthology ID:
- 2022.lrec-1.262
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 2460–2467
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.262
- DOI:
- Cite (ACL):
- Jennifer Tracey, Owen Rambow, Claire Cardie, Adam Dalton, Hoa Trang Dang, Mona Diab, Bonnie Dorr, Louise Guthrie, Magdalena Markowska, Smaranda Muresan, Vinodkumar Prabhakaran, Samira Shaikh, and Tomek Strzalkowski. 2022. BeSt: The Belief and Sentiment Corpus. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2460–2467, Marseille, France. European Language Resources Association.
- Cite (Informal):
- BeSt: The Belief and Sentiment Corpus (Tracey et al., LREC 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.lrec-1.262.pdf
- Data
- MPQA Opinion Corpus