mlsanityData to 7 Oct 2026

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

arXiv 1601.01343 ↗First posted 6 Jan 2016cs.CLcited by 48

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Abstract (arXiv)

Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity mentions in a document to their correct references in a knowledge base (KB) (e.g., Wikipedia). In this paper, we propose a novel embedding method specifically designed for NED. The proposed method jointly maps words and entities into the same continuous vector space. We extend the skip-gram model by using two models. The KB graph model learns the relatedness of entities using the link structure of the KB, whereas the anchor context model aims to align vectors such that similar words and entities occur close to one another in the vector space by leveraging KB anchors and their context words. By combining contexts based on the proposed embedding with standard NED features, we achieved state-of-the-art accuracy of 93.1% on the standard CoNLL dataset and 85.2% on the TAC 2010 dataset.

Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jan 2016.

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Citing papers per year: 2021: 25; 2022: 7; 2023: 7; 2024: 4; 2025: 2; 2026: 3.

48 papers.

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  1. 2021AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processingcited by 131
  2. 2021Multilingual Autoregressive Entity Linkingcited by 50
  3. 2021BERTnesia: Investigating the capture and forgetting of knowledge in BERTcited by 40
  4. 2022WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Typescited by 33
  5. 2021Highly Parallel Autoregressive Entity Linking with Discriminative Correctioncited by 21
  6. 2021Entity Linking Meets Deep Learning: Techniques and Solutionscited by 21
  7. 2021XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledgecited by 18
  8. 2023TempEL: Linking Dynamically Evolving and Newly Emerging Entitiescited by 14
  9. 2021DOCENT: Learning Self-Supervised Entity Representations from Large Document Collectionscited by 13
  10. 2021QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extractioncited by 13
  11. 2021Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolutioncited by 12
  12. 2023Multi-Grained Multimodal Interaction Network for Entity Linkingcited by 12
36 more
  1. 2022Entity-aware Transformers for Entity Searchcited by 10
  2. 2021MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representationscited by 9
  3. 2021Improving Entity Linking through Semantic Reinforced Entity Embeddingscited by 8
  4. 2021Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injectioncited by 8
  5. 2021Reddit Entity Linking Datasetcited by 7
  6. 2021Unsupervised Matching of Data and Textcited by 7
  7. 2021Improving Zero-Shot Entity Retrieval through Effective Dense Representationscited by 6
  8. 2021Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolutioncited by 6
  9. 2022A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Modelscited by 5
  10. 2025Evaluating Design Decisions for Dual Encoder-based Entity Disambiguationcited by 5
  11. 2021Low-Rank Subspaces for Unsupervised Entity Linkingcited by 4
  12. 2023Towards Better Entity Linking with Multi-View Enhanced Distillationcited by 3
  13. 2021A Systematic Investigation of KB-Text Embedding Alignment at Scalecited by 2
  14. 2022Learning Entity Linking Features for Emerging Entitiescited by 2
  15. 2023Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddingscited by 2
  16. 2024Span-Oriented Information Extraction -- A Unifying Perspective on Information Extractioncited by 2
  17. 2021Query Interpretations from Entity-Linked Segmentationscited by 1
  18. 2022Entity Disambiguation with Entity Definitionscited by 1
  19. 2023Joint Representations of Text and Knowledge Graphs for Retrieval and Evaluationcited by 1
  20. 2023Social World Knowledge: Modeling and Applicationscited by 1
  21. 2024The X Types -- Mapping the Semantics of the Twitter Spherecited by 1
  22. 2021An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languagescited by 0
  23. 2021REMOD: Relation Extraction for Modeling Online Discoursecited by 0
  24. 2021Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graphcited by 0
  25. 2021A system for information extraction from scientific texts in Russiancited by 0
  26. 2021Cluster-based Mention Typing for Named Entity Disambiguationcited by 0
  27. 2021SocialVec: Social Entity Embeddingscited by 0
  28. 2022Focusing on Context is NICE: Improving Overshadowed Entity Disambiguationcited by 0
  29. 2022Entity-Assisted Language Models for Identifying Check-worthy Sentencescited by 0
  30. 2023Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retrievercited by 0
  31. 2024Embedded Topic Models Enhanced by Wikificationcited by 0
  32. 2024JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chasecited by 0
  33. 2025PGMEL: Policy Gradient-based Generative Adversarial Network for Multimodal Entity Linkingcited by 0
  34. 2026Uncertainty Quantification for Named Entity Recognition via Full-Sequence and Subsequence Conformal Predictioncited by 0
  35. 2026Link prediction on multi-relational graphs from an influence propagation perspectivecited by 0
  36. 2026Bridging Lexical Divergence: LLM-Assisted, Cost-Efficient, Zero-shot Scientific Entity Linkingcited by 0