mlsanityData to 7 Oct 2026

Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure

arXiv 2004.05080 ↗First posted 10 Apr 2020cs.CLcited by 60

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Abstract (arXiv)

Research into the area of multiparty dialog has grown considerably over recent years. We present the Molweni dataset, a machine reading comprehension (MRC) dataset with discourse structure built over multiparty dialog. Molweni's source samples from the Ubuntu Chat Corpus, including 10,000 dialogs comprising 88,303 utterances. We annotate 30,066 questions on this corpus, including both answerable and unanswerable questions. Molweni also uniquely contributes discourse dependency annotations in a modified Segmented Discourse Representation Theory (SDRT; Asher et al., 2016) style for all of its multiparty dialogs, contributing large-scale (78,245 annotated discourse relations) data to bear on the task of multiparty dialog discourse parsing. Our experiments show that Molweni is a challenging dataset for current MRC models: BERT-wwm, a current, strong SQuAD 2.0 performer, achieves only 67.7% F1 on Molweni's questions, a 20+% significant drop as compared against its SQuAD 2.0 performance.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2020.

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Citing papers per year: 2021: 16; 2022: 8; 2023: 17; 2024: 7; 2025: 7; 2026: 5.

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  1. 2021TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Financecited by 402
  2. 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
  3. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  4. 2023ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relationscited by 39
  5. 2023Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Studycited by 24
  6. 2021Structural Pre-training for Dialogue Comprehensioncited by 20
  7. 2021QAConv: Question Answering on Informative Conversationscited by 17
  8. 2021DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehensioncited by 16
  9. 2021Improving Multi-Party Dialogue Discourse Parsing via Domain Integrationcited by 14
  10. 2021Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehensioncited by 13
  11. 2021Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehensioncited by 13
  12. 2024eRST: A Signaled Graph Theory of Discourse Relations and Organizationcited by 13
38 more
  1. 2021Advances in Multi-turn Dialogue Comprehension: A Surveycited by 12
  2. 2025Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaningcited by 10
  3. 2022Towards Unification of Discourse Annotation Frameworkscited by 8
  4. 2021Structural Characterization for Dialogue Disentanglementcited by 7
  5. 2022Back to the Future: Bidirectional Information Decoupling Network for Multi-turn Dialogue Modelingcited by 7
  6. 2023EM Pre-training for Multi-party Dialogue Response Generationcited by 7
  7. 2021Towards Standard Criteria for human evaluation of Chatbots: A Surveycited by 6
  8. 2021Multi-tasking Dialogue Comprehension with Discourse Parsingcited by 6
  9. 2021Findings on Conversation Disentanglementcited by 6
  10. 2023Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contextscited by 6
  11. 2025Multi-Party Conversational Agents: A Surveycited by 6
  12. 2024GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domainscited by 5
  13. 2022A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigmscited by 4
  14. 2022NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answeringcited by 4
  15. 2023Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialoguescited by 4
  16. 2023Pre-training Multi-party Dialogue Models with Latent Discourse Inferencecited by 4
  17. 2023Structured Dialogue Discourse Parsingcited by 4
  18. 2025Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Setcited by 4
  19. 2022DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learningcited by 3
  20. 2023UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Promptcited by 3
  21. 2023CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogscited by 3
  22. 2024Leveraging Discourse Structure for Extractive Meeting Summarizationcited by 3
  23. 2024Unsupervised Mutual Learning of Discourse Parsing and Topic Segmentation in Dialoguecited by 3
  24. 2022Multilingual Coreference Resolution in Multiparty Dialoguecited by 2
  25. 2023A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsingcited by 2
  26. 2024Thread Detection and Response Generation using Transformers with Prompt Optimisationcited by 2
  27. 2024Discovering Elementary Discourse Units in Textual Data Using Canonical Correlation Analysiscited by 2
  28. 2025Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialoguecited by 2
  29. 2021Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tablescited by 1
  30. 2023Generic Dependency Modeling for Multi-Party Conversationcited by 1
  31. 2023A Pilot Study on Dialogue-Level Dependency Parsing for Chinesecited by 1
  32. 2023Reducing Sensitivity on Speaker Names for Text Generation from Dialoguescited by 1
  33. 2021Advances in Multi-turn Dialogue Comprehension: A Surveycited by 0
  34. 2022Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehensioncited by 0
  35. 2022Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehensioncited by 0
  36. 2023Channel-aware Decoupling Network for Multi-turn Dialogue Comprehensioncited by 0
  37. 2023Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehensioncited by 0
  38. 2023Incorporating Annotator Uncertainty into Representations of Discourse Relationscited by 0

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