mlsanityData to 7 Oct 2026

Gated-Attention Readers for Text Comprehension

arXiv 1606.01549 ↗First posted 5 Jun 2016cs.CL cs.LGcited by 37

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Abstract (arXiv)

In this paper we study the problem of answering cloze-style questions over documents. Our model, the Gated-Attention (GA) Reader, integrates a multi-hop architecture with a novel attention mechanism, which is based on multiplicative interactions between the query embedding and the intermediate states of a recurrent neural network document reader. This enables the reader to build query-specific representations of tokens in the document for accurate answer selection. The GA Reader obtains state-of-the-art results on three benchmarks for this task--the CNN & Daily Mail news stories and the Who Did What dataset. The effectiveness of multiplicative interaction is demonstrated by an ablation study, and by comparing to alternative compositional operators for implementing the gated-attention. The code is available at https://github.com/bdhingra/ga-reader.

Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jun 2016.

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Citing papers per year: 2021: 19; 2022: 7; 2023: 1; 2024: 3; 2025: 4; 2026: 3.

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  9. 2021Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Modelscited by 5
  10. 2024VideoDistill: Language-aware Vision Distillation for Video Question Answeringcited by 5
  11. 2021ExpMRC: Explainability Evaluation for Machine Reading Comprehensioncited by 4
  12. 2021Fact-driven Logical Reasoning for Machine Reading Comprehensioncited by 4
25 more
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  3. 2021SemEval-2021 Task 4: Reading Comprehension of Abstract Meaningcited by 3
  4. 2021Letter-level Online Writer Identificationcited by 3
  5. 2025GreenMind: A Next-Generation Vietnamese Large Language Model for Structured and Logical Reasoningcited by 3
  6. 2022FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertaintycited by 2
  7. 2022Discourse-Aware Graph Networks for Textual Logical Reasoningcited by 2
  8. 2022To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learningcited by 2
  9. 2024Span-Oriented Information Extraction -- A Unifying Perspective on Information Extractioncited by 2
  10. 2021LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Votingcited by 1
  11. 2021XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaningcited by 1
  12. 2021Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Modelcited by 1
  13. 2022A Comprehensive Survey on Multi-hop Machine Reading Comprehension Datasets and Metricscited by 1
  14. 2022A Comprehensive Survey on Multi-hop Machine Reading Comprehension Approachescited by 1
  15. 2023Graph Attention with Hierarchies for Multi-hop Question Answeringcited by 1
  16. 2021Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolutioncited by 0
  17. 2021ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Predictioncited by 0
  18. 2021Automatic Task Requirements Writing Evaluation via Machine Reading Comprehensioncited by 0
  19. 2021Sequential Attention Module for Natural Language Processingcited by 0
  20. 2022elBERto: Self-supervised Commonsense Learning for Question Answeringcited by 0
  21. 2025LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generationcited by 0
  22. 2025A Novel Graph-Sequence Learning Model for Inductive Text Classificationcited by 0
  23. 2026LLMs Struggle with Abstract Meaning Comprehension More Than Expectedcited by 0
  24. 2026Warranted Attention: Learning What to Pass from Attention to Predictioncited by 0
  25. 2026Gated Q-learning: Add Off-Policy Bias to Tastecited by 0