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SciDTB: Discourse Dependency TreeBank for Scientific Abstracts

arXiv 1806.03653 ↗First posted 10 Jun 2018cs.CLcited by 24

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Abstract (arXiv)

Annotation corpus for discourse relations benefits NLP tasks such as machine translation and question answering. In this paper, we present SciDTB, a domain-specific discourse treebank annotated on scientific articles. Different from widely-used RST-DT and PDTB, SciDTB uses dependency trees to represent discourse structure, which is flexible and simplified to some extent but do not sacrifice structural integrity. We discuss the labeling framework, annotation workflow and some statistics about SciDTB. Furthermore, our treebank is made as a benchmark for evaluating discourse dependency parsers, on which we provide several baselines as fundamental work.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jun 2018.

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Citing papers per year: 2021: 3; 2022: 5; 2023: 2; 2024: 4; 2025: 5; 2026: 5.

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  1. 2023Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversitycited by 15
  2. 2021Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehensioncited by 13
  3. 2024eRST: A Signaled Graph Theory of Discourse Relations and Organizationcited by 13
  4. 2024The Nature of NLP: Analyzing Contributions in NLP Paperscited by 12
  5. 2021Unifying Discourse Resources with Dependency Frameworkcited by 8
  6. 2022Towards Unification of Discourse Annotation Frameworkscited by 8
  7. 2023Quality and Efficiency of Manual Annotation: Pre-annotation Biascited by 8
  8. 2021Multi-tasking Dialogue Comprehension with Discourse Parsingcited by 6
  9. 2022Improving Topic Segmentation by Injecting Discourse Dependenciescited by 5
  10. 2022Full-Text Argumentation Mining on Scientific Publicationscited by 4
  11. 2022Improve Discourse Dependency Parsing with Contextualized Representationscited by 1
  12. 2025DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classificationcited by 1
12 more
  1. 2025On the Role of Context for Discourse Relation Classification in Scientific Writingcited by 1
  2. 2026ClaimFlow: Tracing the Evolution of Scientific Claims in NLPcited by 1
  3. 2022Biaffine Discourse Dependency Parsingcited by 0
  4. 2024DMON: A Simple yet Effective Approach for Argument Structure Learningcited by 0
  5. 2024A Novel Dependency Framework for Enhancing Discourse Data Analysiscited by 0
  6. 2025Dependency Parsing is More Parameter-Efficient with Normalizationcited by 0
  7. 2025CLaC at DISRPT 2025: Hierarchical Adapters for Cross-Framework Multi-lingual Discourse Relation Classificationcited by 0
  8. 2025Improving Zero-shot Sentence Decontextualisation with Content Selection and Planningcited by 0
  9. 2026LLMs Underperform Graph-Based Parsers on Supervised Relation Extraction for Complex Graphscited by 0
  10. 2026DiscoExplorer: An Open Interface for the Study of Multilingual Discourse Relationscited by 0
  11. 2026Crossing the Validation Crisis: Cross-Validation Reduces Benchmarking Variance Surprisingly Wellcited by 0
  12. 2026MUSE: A Full-Text Cross-Domain Knowledge Base of Scientific Problems, Solutions, and Rationalescited by 0