mlsanityData to 14 Oct 2026

Deep Joint Entity Disambiguation with Local Neural Attention

arXiv 1704.04920 ↗First posted 17 Apr 2017cs.CLcited by 79

Not on the map. Why?

Abstract (arXiv)

We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations. Key components are entity embeddings, a neural attention mechanism over local context windows, and a differentiable joint inference stage for disambiguation. Our approach thereby combines benefits of deep learning with more traditional approaches such as graphical models and probabilistic mention-entity maps. Extensive experiments show that we are able to obtain competitive or state-of-the-art accuracy at moderate computational costs.

Key facts. Cited by 79 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Apr 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 24; 2022: 20; 2023: 14; 2024: 14; 2025: 3; 2026: 4.

79 papers.

Sort:

By area:

  1. 2023Grammar-Constrained Decoding for Structured NLP Tasks without Finetuningcited by 197
  2. 2022CM3: A Causal Masked Multimodal Model of the Internetcited by 142
  3. 2022ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linkingcited by 74
  4. 2021Locate and Label: A Two-stage Identifier for Nested Named Entity Recognitioncited by 61
  5. 2021GenIE: Generative Information Extractioncited by 53
  6. 2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 51
  7. 2021Multilingual Autoregressive Entity Linkingcited by 50
  8. 2022Autoregressive Structured Prediction with Language Modelscited by 43
  9. 2021Understanding Hard Negatives in Noise Contrastive Estimationcited by 39
  10. 2021EntQA: Entity Linking as Question Answeringcited by 34
  11. 2022WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Typescited by 34
  12. 2021Knowledge-Rich Self-Supervision for Biomedical Entity Linkingcited by 31
38 more
  1. 2021Entity Linking and Discovery via Arborescence-based Supervised Clusteringcited by 22
  2. 2021Entity Linking Meets Deep Learning: Techniques and Solutionscited by 22
  3. 2021Highly Parallel Autoregressive Entity Linking with Discriminative Correctioncited by 21
  4. 2022Parallel Instance Query Network for Named Entity Recognitioncited by 19
  5. 2021CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidatacited by 14
  6. 2023TempEL: Linking Dynamically Evolving and Newly Emerging Entitiescited by 14
  7. 2021Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolutioncited by 12
  8. 2021LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linkingcited by 11
  9. 2022Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problemcited by 11
  10. 2023SpEL: Structured Prediction for Entity Linkingcited by 11
  11. 2022Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linkingcited by 10
  12. 2022Knowledge Mining with Scene Text for Fine-Grained Recognitioncited by 10
  13. 2021MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representationscited by 9
  14. 2024OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Promptingcited by 9
  15. 2021Improving Entity Linking through Semantic Reinforced Entity Embeddingscited by 8
  16. 2022TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrievalcited by 8
  17. 2023AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributescited by 8
  18. 2023Multilingual End to End Entity Linkingcited by 8
  19. 2023DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linkingcited by 8
  20. 2024ChatEL: Entity Linking with Chatbotscited by 8
  21. 2021Reddit Entity Linking Datasetcited by 7
  22. 2022Improving Entity Disambiguation by Reasoning over a Knowledge Basecited by 7
  23. 2024Entity Linking in the Job Market Domaincited by 7
  24. 2024EntGPT: Entity Linking with Generative Large Language Modelscited by 7
  25. 2021Improving Zero-Shot Entity Retrieval through Effective Dense Representationscited by 6
  26. 2021Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolutioncited by 6
  27. 2021Survey on English Entity Linking on Wikidatacited by 6
  28. 2022Effective Few-Shot Named Entity Linking by Meta-Learningcited by 6
  29. 2022Instilling Type Knowledge in Language Models via Multi-Task QAcited by 5
  30. 2022Community Question Answering Entity Linking via Leveraging Auxiliary Datacited by 5
  31. 2022EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexingcited by 5
  32. 2023NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linkercited by 5
  33. 2024BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filteringcited by 5
  34. 2024UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Modelscited by 5
  35. 2025Evaluating Design Decisions for Dual Encoder-based Entity Disambiguationcited by 5
  36. 2021Low-Rank Subspaces for Unsupervised Entity Linkingcited by 4
  37. 2023"A Tale of Two Movements": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Predictioncited by 4
  38. 2023MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognitioncited by 4

50 most cited of 79 All 79 (JSON)