mlsanityData to 7 Oct 2026

QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines

arXiv 2010.02815 ↗First posted 6 Oct 2020cs.CLcited by 34

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Abstract (arXiv)

Discourse relations describe how two propositions relate to one another, and identifying them automatically is an integral part of natural language understanding. However, annotating discourse relations typically requires expert annotators. Recently, different semantic aspects of a sentence have been represented and crowd-sourced via question-and-answer (QA) pairs. This paper proposes a novel representation of discourse relations as QA pairs, which in turn allows us to crowd-source wide-coverage data annotated with discourse relations, via an intuitively appealing interface for composing such questions and answers. Based on our proposed representation, we collect a novel and wide-coverage QADiscourse dataset, and present baseline algorithms for predicting QADiscourse relations.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2020.

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Citing papers per year: 2021: 8; 2022: 7; 2023: 7; 2024: 7; 2025: 3; 2026: 2.

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  1. 2021Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processingcited by 126
  2. 2022Generating Literal and Implied Subquestions to Fact-check Complex Claimscited by 66
  3. 2022Conditional Generation with a Question-Answering Blueprintcited by 44
  4. 2023Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answeringcited by 28
  5. 2021Asking It All: Generating Contextualized Questions for any Semantic Rolecited by 22
  6. 2021ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphscited by 22
  7. 2021Discourse Comprehension: A Question Answering Framework to Represent Sentence Connectionscited by 19
  8. 2021An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainabilitycited by 15
  9. 2023A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documentscited by 15
  10. 2021Draw Me a Flower: Processing and Grounding Abstraction in Natural Languagecited by 14
  11. 2023Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Designcited by 14
  12. 2022Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussioncited by 13
22 more
  1. 2024Localizing Factual Inconsistencies in Attributable Text Generationcited by 13
  2. 2022QASem Parsing: Text-to-text Modeling of QA-based Semanticscited by 12
  3. 2022Inferring Implicit Relations in Complex Questions with Language Modelscited by 9
  4. 2022Lexical Generalization Improves with Larger Models and Longer Trainingcited by 9
  5. 2024Multi-Label Classification for Implicit Discourse Relation Recognitioncited by 9
  6. 2021Text-based NP Enrichmentcited by 8
  7. 2024QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarizationcited by 8
  8. 2022QA Is the New KR: Question-Answer Pairs as Knowledge Basescited by 6
  9. 2021ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentencescited by 5
  10. 2024Promptly Predicting Structures: The Return of Inferencecited by 4
  11. 2024Explicating the Implicit: Argument Detection Beyond Sentence Boundariescited by 4
  12. 2024A Multi-Task and Multi-Label Classification Model for Implicit Discourse Relation Recognitioncited by 4
  13. 2023Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessmentcited by 2
  14. 2024On Crowdsourcing Task Design for Discourse Relation Annotationcited by 2
  15. 2025A Survey of QUD Models for Discourse Processingcited by 1
  16. 2025Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learningcited by 1
  17. 2025QA-Noun: Representing Nominal Semantics via Natural Language Question-Answer Pairscited by 1
  18. 2023Incorporating Annotator Uncertainty into Representations of Discourse Relationscited by 0
  19. 2023Discourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigationcited by 0
  20. 2023CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchiescited by 0
  21. 2026Which course? Discourse! Teaching Discourse and Generation in the Era of LLMscited by 0
  22. 2026Effective QA-driven Annotation of Predicate-Argument Relations Across Languagescited by 0