mlsanityData to 7 Oct 2026

Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval

arXiv 1805.07591 ↗First posted 19 May 2018cs.IRcited by 33

Not on the map. Why?

Abstract (arXiv)

This paper presents the Entity-Duet Neural Ranking Model (EDRM), which introduces knowledge graphs to neural search systems. EDRM represents queries and documents by their words and entity annotations. The semantics from knowledge graphs are integrated in the distributed representations of their entities, while the ranking is conducted by interaction-based neural ranking networks. The two components are learned end-to-end, making EDRM a natural combination of entity-oriented search and neural information retrieval. Our experiments on a commercial search log demonstrate the effectiveness of EDRM. Our analyses reveal that knowledge graph semantics significantly improve the generalization ability of neural ranking models.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 May 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 8; 2023: 5; 2024: 5; 2025: 6; 2026: 3.

33 papers.

Sort:

By area:

  1. 2022Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communicationscited by 166
  2. 2023Knowledge Graphs: Opportunities and Challengescited by 70
  3. 2021CPM-2: Large-scale Cost-effective Pre-trained Language Modelscited by 52
  4. 2022Temporal Knowledge Graph Reasoning with Historical Contrastive Learningcited by 42
  5. 2021Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similaritycited by 35
  6. 2024A Semantic Search Engine for Mathlib4cited by 30
  7. 2021A Survey of Knowledge Graph Embedding and Their Applicationscited by 17
  8. 2021Neural ranking models for document retrievalcited by 16
  9. 2022Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysiscited by 16
  10. 2023From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Surveycited by 14
  11. 2022MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoningcited by 13
  12. 2023Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Predictioncited by 9
21 more
  1. 2021Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancementcited by 8
  2. 2024DREQ: Document Re-Ranking Using Entity-based Query Understandingcited by 5
  3. 2024Optimal Transport Guided Correlation Assignment for Multimodal Entity Linkingcited by 5
  4. 2022DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decodingcited by 4
  5. 2025Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuningcited by 4
  6. 2024DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approachcited by 3
  7. 2021Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Spacecited by 2
  8. 2022Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spacescited by 2
  9. 2023Do as I can, not as I getcited by 1
  10. 2025QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Rankingcited by 1
  11. 2026Entity Labels Are Not Entity Signals: A Framework for Observable Relevance in Document Re-Rankingcited by 1
  12. 2022Profiling and Evolution of Intellectual Propertycited by 0
  13. 2022Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphscited by 0
  14. 2023Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolationcited by 0
  15. 2024Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognitioncited by 0
  16. 2025Dynamic Injection of Entity Knowledge into Dense Retrieverscited by 0
  17. 2025REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Rankingcited by 0
  18. 2025TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completioncited by 0
  19. 2025DynaGen: Unifying Temporal Knowledge Graph Reasoning with Dynamic Subgraphs and Generative Regularizationcited by 0
  20. 2026SASA: Semantic-Aware Contrastive Learning Framework with Separated Attention for Triple Classificationcited by 0
  21. 2026Beyond Relevance: Structured Semantic Supervision for Product Search with LLM-Augmented Annotationscited by 0