---
title: "Who cites Neural Discourse Structure for Text Categorization"
description: "62 papers of the Elamur Research library cite «Neural Discourse Structure for Text Categorization», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Neural Discourse Structure for Text Categorization](https://md.research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/) / cited by

# Who cites «Neural Discourse Structure for Text Categorization»

62 papers of our library cite it (of the 140,884 whose bibliographies we read) · 11 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/)

1. [**Is Attention Interpretable?**Sofia Serrano, Noah A. Smith*2019 · 885 citations*](https://md.research.elamur.ai/free/en/papers/serrano-2019-is-attention-interpretable/)
2. [**A Dependency Perspective on RST Discourse Parsing and Evaluation**Mathieu Morey, Philippe Muller, Nicholas Asher*2018 · 76 citations*](https://md.research.elamur.ai/free/en/papers/morey-2018-dependency-perspective-rst-discourse-parsing/)
3. [**The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse**Pere-Lluís Huguet Cabot, Verna Dankers, David Abadi, et al.*2020 · 64 citations*](https://md.research.elamur.ai/free/en/papers/cabot-2020-pragmatics-behind-politics-modelling-metaphor/)
4. [**A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure**Longyin Zhang, Yuqing Xing, Fang Kong, et al.*2020 · 63 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-top-down-neural-architecture-text/)
5. [**Adversarial Learning for Discourse Rhetorical Structure Parsing**Longyin Zhang, Fang Kong, Guodong Zhou*2021 · 45 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-adversarial-learning-discourse-rhetorical-structure/)
6. [**MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision**Patrick Huber, Giuseppe Carenini*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/huber-2020-mega-rst-discourse-treebanks-structure/)
7. [**Neural Generative Rhetorical Structure Parsing**Amandla Mabona, Laura Rimell, Stephen Clark, et al.*2019 · 35 citations*](https://md.research.elamur.ai/free/en/papers/mabona-2019-neural-generative-rhetorical-structure-parsing/)
8. [**Structured Dialogue Discourse Parsing**Ta-Chung Chi, Alexander Rudnicky*2022 · 34 citations*](https://md.research.elamur.ai/free/en/papers/chi-2022-structured-dialogue-discourse-parsing/)
9. [**Coreference for Discourse Parsing: A Neural Approach**Grigorii Guz, Giuseppe Carenini*2020 · 31 citations*](https://md.research.elamur.ai/free/en/papers/guz-2020-coreference-discourse-parsing-neural-approach/)
10. [**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/)
11. [**Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining**Grigorii Guz, Patrick Huber, Giuseppe Carenini*2020 · 19 citations*](https://md.research.elamur.ai/free/en/papers/guz-2020-unleashing-power-neural-discourse-parsers/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/) — Neural Discourse Structure for Text Categorization