🔗 Who cites «How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations»

21 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · ← the paper

1. eRST: A Signaled Graph Theory of Discourse Relations and OrganizationAmir Zeldes, Tatsuya Aoyama, Yang Janet Liu, et al.2025 · 31 citations
2. Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data DiversityYang Janet Liu, Amir Zeldes2023 · 24 citations
3. DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse RelationsMerel Scholman, Tianai Dong, Frances Yung, et al.2022 · 23 citations
4. Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionWei-Jen Ko, Yating Wu, Cutter Dalton, et al.2023 · 21 citations
5. Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task DesignValentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.2023 · 19 citations
6. Label distributions help implicit discourse relation classificationFrances Yung, Kaveri Anuranjana, Merel Scholman, et al.2022 · 16 citations
7. Mapping Explicit and Implicit Discourse Relations between the RST-DT and the PDTB 3.0Nelson Filipe Costa, Nadia Sheikh, Leila Kosseim2023 · 10 citations
8. GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and DomainsYang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, et al.2024 · 9 citations
9. Exploring Soft-Label Training for Implicit Discourse Relation RecognitionNelson Filipe Costa, Leila Kosseim2024 · 4 citations

12 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/cited-by/