[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/yang-2018-scidtb-discourse-dependency-treebank-scientific/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «SciDTB: Discourse Dependency TreeBank for Scientific Abstracts»

# Who cites «SciDTB: Discourse Dependency TreeBank for Scientific Abstracts»

41 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/yang-2018-scidtb-discourse-dependency-treebank-scientific/)

1. [CLaC at DISRPT 2025: Hierarchical Adapters for Cross-Framework Multi-lingual Discourse Relation Classification](https://aclanthology.org/2025.disrpt-1.3/) *— 2025 · Proceedings of the 4th Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2025)*
2. [DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classification](https://aclanthology.org/2025.disrpt-1.4/) *— 2025 · Proceedings of the 4th Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2025)*
3. [On the Role of Context for Discourse Relation Classification in Scientific Writing](https://aclanthology.org/2025.codi-1.8/) *— 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)*
4. [The DISRPT 2025 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification](https://aclanthology.org/2025.disrpt-1.1/) *— 2025 · Proceedings of the 4th Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2025)*
5. [The Nature of NLP: Analyzing Contributions in NLP Papers](https://aclanthology.org/2025.acl-long.1224/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Where Frameworks (Dis)agree: A Study of Discourse Segmentation](https://aclanthology.org/2025.codi-1.16/) *— 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)*
7. [eRST: A Signaled Graph Theory of Discourse Relations and Organization](https://md.mova.elamur.ai/free/en/docs/papers/zeldes-2025-erst-signaled-graph-theory-discourse/) *— our card · 2025*
8. [Feature-augmented model for multilingual discourse relation classification](https://aclanthology.org/2024.codi-1.9/) *— 2024 · Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)*
9. [Zero-shot Learning for Multilingual Discourse Relation Classification](https://aclanthology.org/2024.lrec-main.1553/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
10. [DisCut and DiscReT: MELODI at DISRPT 2023](https://aclanthology.org/2023.disrpt-1.3/) *— 2023 · Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)*
11. [HITS at DISRPT 2023: Discourse Segmentation, Connective Detection, and Relation Classification](https://aclanthology.org/2023.disrpt-1.4/) *— 2023 · Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)*
12. [The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification](https://md.mova.elamur.ai/free/en/docs/papers/braud-2023-disrpt-2023-shared-task-elementary/) *— our card · 2023 · Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)*
13. [Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity](https://aclanthology.org/2023.eacl-main.227/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
14. [End-to-end Argument Mining with Cross-corpora Multi-task Learning](https://aclanthology.org/2022.tacl-1.37/) *— 2022 · Transactions of the Association for Computational Linguistics*
15. [Full-Text Argumentation Mining on Scientific Publications](https://aclanthology.org/2022.wiesp-1.7/) *— 2022 · Proceedings of the First Workshop on Information Extraction from Scientific Publications*
16. [Improving Topic Segmentation by Injecting Discourse Dependencies](https://aclanthology.org/2022.codi-1.2/) *— 2022 · Proceedings of the 3rd Workshop on Computational Approaches to Discourse*
17. [M3: Multi-level dataset for Multi-document summarisation of Medical studies](https://aclanthology.org/2022.findings-emnlp.286/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
18. [Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation](https://aclanthology.org/2022.tacl-1.8/) *— 2022 · Transactions of the Association for Computational Linguistics*
19. [Quality and Efficiency of Manual Annotation: Pre-annotation Bias](https://aclanthology.org/2022.lrec-1.312/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
20. [Towards Unification of Discourse Annotation Frameworks](https://aclanthology.org/2022.acl-srw.12/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
21. [Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing](https://aclanthology.org/2021.acl-long.449/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
22. [Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead](https://aclanthology.org/2021.sdp-1.7/) *— 2021 · Proceedings of the Second Workshop on Scholarly Document Processing*
23. [Argumentation Mining in Scientific Literature for Sustainable Development](https://aclanthology.org/2021.argmining-1.10/) *— 2021 · Proceedings of the 8th Workshop on Argument Mining*
24. [Multi-tasking Dialogue Comprehension with Discourse Parsing](https://aclanthology.org/2021.paclic-1.58/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
25. [Unifying Discourse Resources with Dependency Framework](https://aclanthology.org/2021.ccl-1.94/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
26. [Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT](https://aclanthology.org/2020.acl-main.383/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
27. [Research on Discourse Parsing: from the Dependency View](https://aclanthology.org/2020.iwdp-1.1/) *— 2020 · Proceedings of the Second International Workshop of Discourse Processing*
28. [Evaluation of Scientific Elements for Text Similarity in Biomedical Publications](https://aclanthology.org/W19-4515/) *— 2019 · Proceedings of the 6th Workshop on Argument Mining*
29. [Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts](https://aclanthology.org/W19-4505/) *— 2019 · Proceedings of the 6th Workshop on Argument Mining*
30. [Zero-shot Chinese Discourse Dependency Parsing via Cross-lingual Mapping](https://aclanthology.org/W19-8104/) *— 2019 · Proceedings of the 1st Workshop on Discourse Structure in Neural NLG*
31. banerjee-2025-hits-disrpt-2025-discourse-segmentation
32. deng-2025-improving-zero-shot-sentence-decontextualisation
33. devi-2025-secorel-multilingual-discourse-analysis-disrpt
34. ferracane-2019-news-medical-cross-domain-discourse
35. gajo-2026-llms-underperform-graph-based-parsers
36. huber-2020-do-sentence-embeddings-capture-discourse
37. li-2026-bediscover-benchmark-discourse-understanding-era
38. liu-2023-learning-dynamic-representations-discourse-dependency
39. liu-2023-webdp-understanding-discourse-structures-semi
40. takatsu-2021-personalized-extractive-summarization-ising-machine
41. wei-2024-dmon-simple-yet-effective-approach
- [← previous Who cites «A Syntax-based Statistical Translation Model» · page 3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yamada-2001-syntax-based-statistical-translation-model-3/)
- [next → Who cites «How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yang-2025-llm-reasoning-distracted-irrelevant-context/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)