Who cites «A Dependency Perspective on RST Discourse Parsing and Evaluation»
32 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- DiscoExplorer: An Open Interface for the Study of Multilingual Discourse Relations — 2026 · Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026)
- Disagreements in analyses of rhetorical text structure: A new dataset and first analyses — 2025 · Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)
- 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)
- eRST: A Signaled Graph Theory of Discourse Relations and Organization — our card · 2025
- Discourse Structure for the Minecraft Corpus — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion — our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Discourse Parsing Enhanced by Discourse Dependence Perception — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation — 2022 · Transactions of the Association for Computational Linguistics
- Toward Automatic Discourse Parsing of Student Writing Motivated by Neural Interpretation — 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)
- Towards Unification of Discourse Annotation Frameworks — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing — 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)
- RST Parsing from Scratch — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Textual Relations with Conjunctive Adverbials in English Writing by Chinese Speakers: A corpus-based Approach — 2021
- The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification — 2021 · Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)
- Unifying Discourse Resources with Dependency Framework — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
- A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Combining Thai EDUs: Principle and Implementation — 2020 · Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
- Coreference for Discourse Parsing: A Neural Approach — 2020 · Proceedings of the First Workshop on Computational Approaches to Discourse
- Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! — 2020 · Proceedings of the First Workshop on Computational Approaches to Discourse
- Do sentence embeddings capture discourse properties of sentences from Scientific Abstracts ? — 2020 · Proceedings of the First Workshop on Computational Approaches to Discourse
- From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Towards Domain-Independent Text Structuring Trainable on Large Discourse Treebanks — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Towards Domain-Independent Text Structuring Trainable on Large Discourse Treebanks — 2020 · Proceedings of the Workshop on Discourse Theories for Text Planning
- Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Unsupervised Discourse Constituency Parsing Using Viterbi EM — 2020 · Transactions of the Association for Computational Linguistics
- Apprentissage faiblement supervisé de la structure discursive (Learning discourse structure using weak supervision ) — 2019 · Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts
- Hierarchical Pointer Net Parsing — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Learning Hierarchical Discourse-level Structure for Fake News Detection — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Weak Supervision for Learning Discourse Structure — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)