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Question Directed Graph Attention Network for Numerical Reasoning over Text

arXiv 2009.07448 ↗First posted 16 Sep 2020cs.AIcited by 35

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Abstract (arXiv)

Numerical reasoning over texts, such as addition, subtraction, sorting and counting, is a challenging machine reading comprehension task, since it requires both natural language understanding and arithmetic computation. To address this challenge, we propose a heterogeneous graph representation for the context of the passage and question needed for such reasoning, and design a question directed graph attention network to drive multi-step numerical reasoning over this context graph. The code link is at: https://github.com/emnlp2020qdgat/QDGAT

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Sep 2020.

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Citing papers per year: 2021: 8; 2022: 17; 2023: 6; 2024: 2; 2025: 2.

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  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2023PaLM 2 Technical Reportcited by 1,154
  3. 2021ByT5: Towards a token-free future with pre-trained byte-to-byte modelscited by 504
  4. 2021TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Financecited by 402
  5. 2022Towards Complex Document Understanding By Discrete Reasoningcited by 82
  6. 2022Reasoning Like Program Executorscited by 45
  7. 2021Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skillscited by 39
  8. 2022Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Reviewcited by 37
  9. 2021DAGN: Discourse-Aware Graph Network for Logical Reasoningcited by 28
  10. 2022On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlationscited by 19
  11. 2021Teaching Autoregressive Language Models Complex Tasks By Demonstrationcited by 15
  12. 2023GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyondcited by 14
23 more
  1. 2022Towards Fine-grained Causal Reasoning and QAcited by 13
  2. 2022UniRPG: Unified Discrete Reasoning over Table and Text as Program Generationcited by 13
  3. 2021NT5?! Training T5 to Perform Numerical Reasoningcited by 11
  4. 2022DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Datacited by 10
  5. 2022A Neural-Symbolic Approach to Natural Language Understandingcited by 8
  6. 2022OPERA:Operation-Pivoted Discrete Reasoning over Textcited by 7
  7. 2022Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systemscited by 7
  8. 2022Complex Reading Comprehension Through Question Decompositioncited by 7
  9. 2022A Survey on Table-and-Text HybridQA: Concepts, Methods, Challenges and Future Directionscited by 7
  10. 2022Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systemscited by 6
  11. 2025Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitationscited by 6
  12. 2023Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphscited by 5
  13. 2022Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Modelscited by 3
  14. 2023DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Textcited by 3
  15. 2021EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehensioncited by 2
  16. 2021Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Textcited by 2
  17. 2022Discourse-Aware Graph Networks for Textual Logical Reasoningcited by 2
  18. 2022Teaching Neural Module Networks to Do Arithmeticcited by 1
  19. 2022Heterogeneous Line Graph Transformer for Math Word Problemscited by 0
  20. 2023Extracting Victim Counts from Textcited by 0
  21. 2024QASE Enhanced PLMs: Improved Control in Text Generation for MRCcited by 0
  22. 2024Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehensioncited by 0
  23. 2025Chaining Event Spans for Temporal Relation Groundingcited by 0