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Who cites «Mapping Explicit and Implicit Discourse Relations between the RST-DT and the PDTB 3.0»

9 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. A Multi-Task and Multi-Label Classification Model for Implicit Discourse Relation Recognition — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  2. CLaC at DISRPT 2025: Hierarchical Adapters for Cross-Framework Multi-lingual Discourse Relation Classification — 2025 · Proceedings of the 4th Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2025)
  3. Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learning — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  4. Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. The DISRPT 2025 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification — 2025 · Proceedings of the 4th Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2025)
  6. Automatic Alignment of Discourse Relations of Different Discourse Annotation Frameworks — 2024 · Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024
  7. Exploring Soft-Label Training for Implicit Discourse Relation Recognition — 2024 · Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)
  8. GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains — our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  9. Discourse Analysis of Argumentative Essays of English Learners Based on CEFR Level — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing