mlsanityData to 7 Oct 2026

Natural Language Inference over Interaction Space

arXiv 1709.04348 ↗First posted 13 Sep 2017cs.CLcited by 34

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Abstract (arXiv)

Natural Language Inference (NLI) task requires an agent to determine the logical relationship between a natural language premise and a natural language hypothesis. We introduce Interactive Inference Network (IIN), a novel class of neural network architectures that is able to achieve high-level understanding of the sentence pair by hierarchically extracting semantic features from interaction space. We show that an interaction tensor (attention weight) contains semantic information to solve natural language inference, and a denser interaction tensor contains richer semantic information. One instance of such architecture, Densely Interactive Inference Network (DIIN), demonstrates the state-of-the-art performance on large scale NLI copora and large-scale NLI alike corpus. It's noteworthy that DIIN achieve a greater than 20% error reduction on the challenging Multi-Genre NLI (MultiNLI) dataset with respect to the strongest published system.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Sep 2017.

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Citing papers per year: 2021: 10; 2022: 12; 2023: 5; 2024: 4; 2025: 0; 2026: 3.

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  1. 2021Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuningcited by 145
  2. 2021Variational Information Bottleneck for Effective Low-Resource Fine-Tuningcited by 51
  3. 2022Multi-VALUE: A Framework for Cross-Dialectal English NLPcited by 51
  4. 2021WikiContradiction: Detecting Self-Contradiction Articles on Wikipediacited by 17
  5. 2022Improving Personality Consistency in Conversation by Persona Extendingcited by 17
  6. 2021LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matchingcited by 15
  7. 2022Paraphrase Identification with Deep Learning: A Review of Datasets and Methodscited by 13
  8. 2021Sentence Similarity Based on Contextscited by 12
  9. 2022Pair-Level Supervised Contrastive Learning for Natural Language Inferencecited by 12
  10. 2022HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbationcited by 11
  11. 2022Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intentscited by 9
  12. 2022QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevancecited by 9
22 more
  1. 2024Comateformer: Combined Attention Transformer for Semantic Sentence Matchingcited by 9
  2. 2022A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inferencecited by 8
  3. 2022INTERACTION: A Generative XAI Framework for Natural Language Inference Explanationscited by 5
  4. 2022AlignVE: Visual Entailment Recognition Based on Alignment Relationscited by 5
  5. 2021Context-Aware Interaction Network for Question Matchingcited by 4
  6. 2023No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inferencecited by 4
  7. 2023Improving Text Semantic Similarity Modeling through a 3D Siamese Networkcited by 4
  8. 2024Exploring Continual Learning of Compositional Generalization in NLIcited by 4
  9. 2024FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interactioncited by 3
  10. 2021You Can Do Better! If You Elaborate the Reason When Making Predictioncited by 2
  11. 2021LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matchingcited by 2
  12. 2023When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviewscited by 2
  13. 2021An Interpretable Framework for Drug-Target Interaction with Gated Cross Attentioncited by 1
  14. 2021Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identificationcited by 0
  15. 2022Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferencescited by 0
  16. 2022KL Regularized Normalization Framework for Low Resource Taskscited by 0
  17. 2023Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledgecited by 0
  18. 2023How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRGcited by 0
  19. 2024A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matchingcited by 0
  20. 2026Multi-Granularity Reasoning for Natural Language Inferencecited by 0
  21. 2026Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation detection in social media postscited by 0
  22. 2026R-DEIM Net: An Efficient Rationale-Augmented Dual-Expert Interaction Model for Paraphrase Detectioncited by 0