mlsanityData to 7 Oct 2026

GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing

arXiv 2210.10449 ↗First posted 19 Oct 2022cs.CLcited by 13

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Abstract (arXiv)

A lack of large-scale human-annotated data has hampered the hierarchical discourse parsing of Chinese. In this paper, we present GCDT, the largest hierarchical discourse treebank for Mandarin Chinese in the framework of Rhetorical Structure Theory (RST). GCDT covers over 60K tokens across five genres of freely available text, using the same relation inventory as contemporary RST treebanks for English. We also report on this dataset's parsing experiments, including state-of-the-art (SOTA) scores for Chinese RST parsing and RST parsing on the English GUM dataset, using cross-lingual training in Chinese and English with multilingual embeddings.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 17 of its 64 references that are in the map. First posted on arXiv 19 Oct 2022.

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17 of 64 references.

References · 17

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  4. 2019Discourse-Aware Neural Extractive Text Summarizationcited by 104
  5. 2021DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsingcited by 27
  6. 2015Better Document-level Sentiment Analysis from RST Discourse Parsingcited by 20
  7. 2017Cross-lingual RST Discourse Parsingcited by 19
  8. 2020Multilingual Neural RST Discourse Parsingcited by 13
  9. 2020A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structurecited by 12
  10. 2020Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQAcited by 12
  11. 2020Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !cited by 10
  12. 2021Unifying Discourse Resources with Dependency Frameworkcited by 8
5 more
  1. 2021Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Taskcited by 8
  2. 2017Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse treescited by 6
  3. 2021Persian Rhetorical Structure Theorycited by 6
  4. 2019Zero-shot Chinese Discourse Dependency Parsing via Cross-lingual Mappingcited by 5
  5. 2020From Sentiment Annotations to Sentiment Prediction through Discourse Augmentationcited by 5

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Citing papers per year: 2022: 1; 2023: 3; 2024: 3; 2025: 4; 2026: 2.

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  1. 2022The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluationcited by 133
  2. 2023Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversitycited by 15
  3. 2024eRST: A Signaled Graph Theory of Discourse Relations and Organizationcited by 13
  4. 2024Bilingual Rhetorical Structure Parsing with Large Parallel Annotationscited by 5
  5. 2024GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domainscited by 5
  6. 2023Are UD Treebanks Getting More Consistent? A Report Card for English UDcited by 4
  7. 2025Identifying the Periodicity of Information in Natural Languagecited by 2
  8. 2023A Pilot Study on Dialogue-Level Dependency Parsing for Chinesecited by 1
  9. 2025DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classificationcited by 1
  10. 2025CLaC at DISRPT 2025: Hierarchical Adapters for Cross-Framework Multi-lingual Discourse Relation Classificationcited by 0
  11. 2025Bridging Discourse Treebanks with a Unified Rhetorical Structure Parsercited by 0
  12. 2026DiscoExplorer: An Open Interface for the Study of Multilingual Discourse Relationscited by 0
1 more
  1. 2026Introducing corpora Hlava Cor and Hlava AD: Human Label Variation in Coreference and Discourse Relationscited by 0