mlsanityData to 13 Oct 2026

Improving Entity Linking by Modeling Latent Relations between Mentions

arXiv 1804.10637 ↗First posted 27 Apr 2018cs.CLcited by 53

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Abstract (arXiv)

Entity linking involves aligning textual mentions of named entities to their corresponding entries in a knowledge base. Entity linking systems often exploit relations between textual mentions in a document (e.g., coreference) to decide if the linking decisions are compatible. Unlike previous approaches, which relied on supervised systems or heuristics to predict these relations, we treat relations as latent variables in our neural entity-linking model. We induce the relations without any supervision while optimizing the entity-linking system in an end-to-end fashion. Our multi-relational model achieves the best reported scores on the standard benchmark (AIDA-CoNLL) and substantially outperforms its relation-agnostic version. Its training also converges much faster, suggesting that the injected structural bias helps to explain regularities in the training data.

Key facts. Cited by 53 papers in the map (data through 13 Oct 2026). First posted on arXiv 27 Apr 2018.

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Citing papers per year: 2021: 19; 2022: 12; 2023: 7; 2024: 9; 2025: 6.

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  1. 2023Grammar-Constrained Decoding for Structured NLP Tasks without Finetuningcited by 188
  2. 2022CM3: A Causal Masked Multimodal Model of the Internetcited by 142
  3. 2021Unified Named Entity Recognition as Word-Word Relation Classificationcited by 90
  4. 2022ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linkingcited by 74
  5. 2021Locate and Label: A Two-stage Identifier for Nested Named Entity Recognitioncited by 61
  6. 2021GenIE: Generative Information Extractioncited by 53
  7. 2022WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Typescited by 33
  8. 2021Knowledge-Rich Self-Supervision for Biomedical Entity Linkingcited by 31
  9. 2021Entity Linking and Discovery via Arborescence-based Supervised Clusteringcited by 22
  10. 2021Highly Parallel Autoregressive Entity Linking with Discriminative Correctioncited by 21
  11. 2021Entity Linking Meets Deep Learning: Techniques and Solutionscited by 21
  12. 2022Parallel Instance Query Network for Named Entity Recognitioncited by 19
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  1. 2023KILM: Knowledge Injection into Encoder-Decoder Language Modelscited by 19
  2. 2024LLMAEL: Large Language Models are Good Context Augmenters for Entity Linkingcited by 19
  3. 2023Multi-Grained Multimodal Interaction Network for Entity Linkingcited by 12
  4. 2022Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledgecited by 11
  5. 2021MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Networkcited by 10
  6. 2021MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representationscited by 9
  7. 2024OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Promptingcited by 9
  8. 2021Improving Entity Linking through Semantic Reinforced Entity Embeddingscited by 8
  9. 2022Kuaipedia: a Large-scale Multi-modal Short-video Encyclopediacited by 8
  10. 2024ChatEL: Entity Linking with Chatbotscited by 8
  11. 2021Reddit Entity Linking Datasetcited by 7
  12. 2021Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolutioncited by 6
  13. 2021Survey on English Entity Linking on Wikidatacited by 6
  14. 2022Improving Entity Disambiguation by Reasoning over a Knowledge Basecited by 6
  15. 2022Data-Efficient Autoregressive Document Retrieval for Fact Verificationcited by 6
  16. 2022Community Question Answering Entity Linking via Leveraging Auxiliary Datacited by 5
  17. 2023Benchmarking Diverse-Modal Entity Linking with Generative Modelscited by 5
  18. 2024BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filteringcited by 5
  19. 2024Optimal Transport Guided Correlation Assignment for Multimodal Entity Linkingcited by 5
  20. 2025Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Modelscited by 5
  21. 2025Evaluating Design Decisions for Dual Encoder-based Entity Disambiguationcited by 5
  22. 2021Low-Rank Subspaces for Unsupervised Entity Linkingcited by 4
  23. 2024DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAGcited by 4
  24. 2025Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguationcited by 4
  25. 2021Posthoc Verification and the Fallibility of the Ground Truthcited by 3
  26. 2023Gaussian Prior Reinforcement Learning for Nested Named Entity Recognitioncited by 3
  27. 2023Growing and Serving Large Open-domain Knowledge Graphscited by 3
  28. 2023Coherent Entity Disambiguation via Modeling Topic and Categorical Dependencycited by 3
  29. 2021A Dialogue-based Information Extraction System for Medical Insurance Assessmentcited by 2
  30. 2022Learning Entity Linking Features for Emerging Entitiescited by 2
  31. 2024CMNER: A Chinese Multimodal NER Dataset based on Social Mediacited by 2
  32. 2024Span-Oriented Information Extraction -- A Unifying Perspective on Information Extractioncited by 2
  33. 2024Multi-level Matching Network for Multimodal Entity Linkingcited by 2
  34. 2022Entity Disambiguation with Entity Definitionscited by 1
  35. 2021Cluster-based Mention Typing for Named Entity Disambiguationcited by 0
  36. 2021Ontology-based question answering over corporate structured datacited by 0
  37. 2021Learning to Select the Next Reasonable Mention for Entity Linkingcited by 0
  38. 2022Focusing on Context is NICE: Improving Overshadowed Entity Disambiguationcited by 0

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