---
title: "Who cites How compatible are our discourse — 21 citing papers"
description: "21 papers of the Elamur Research library cite «How compatible are our discourse annotation frameworks? Insights from mapping RST-DT…"
canonical: "https://research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [How compatible are our discourse annotation…](https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/) / cited by

# 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 · [← back to «How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations»](https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/)

1. [**eRST: A Signaled Graph Theory of Discourse Relations and Organization**Amir Zeldes, Tatsuya Aoyama, Yang Janet Liu, et al.*2025 · 31 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2025-erst-signaled-graph-theory-discourse/)
2. [**Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity**Yang Janet Liu, Amir Zeldes*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-why-can-t-discourse-parsing/)
3. [**DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations**Merel Scholman, Tianai Dong, Frances Yung, et al.*2022 · 23 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2022-discogem-crowdsourced-corpus-genre-mixed/)
4. [**Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion**Wei-Jen Ko, Yating Wu, Cutter Dalton, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/ko-2023-discourse-analysis-questions-answers-parsing/)
5. [**Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/)
6. [**Label distributions help implicit discourse relation classification**Frances Yung, Kaveri Anuranjana, Merel Scholman, et al.*2022 · 16 citations*](https://md.research.elamur.ai/free/en/papers/yung-2022-label-distributions-help-implicit-discourse/)
7. [**Mapping Explicit and Implicit Discourse Relations between the RST-DT and the PDTB 3.0**Nelson Filipe Costa, Nadia Sheikh, Leila Kosseim*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/costa-2023-mapping-explicit-implicit-discourse-relations/)
8. [**GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains**Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-gdtb-genre-diverse-data-english/)
9. [**Exploring Soft-Label Training for Implicit Discourse Relation Recognition**Nelson Filipe Costa, Leila Kosseim*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/costa-2024-exploring-soft-label-training-implicit/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/) — How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations