mlsanityData to 7 Oct 2026

EntQA: Entity Linking as Question Answering

arXiv 2110.02369 ↗First posted 5 Oct 2021cs.CL cs.LGcited by 34

Not on the map. Why?

Abstract (arXiv)

A conventional approach to entity linking is to first find mentions in a given document and then infer their underlying entities in the knowledge base. A well-known limitation of this approach is that it requires finding mentions without knowing their entities, which is unnatural and difficult. We present a new model that does not suffer from this limitation called EntQA, which stands for Entity linking as Question Answering. EntQA first proposes candidate entities with a fast retrieval module, and then scrutinizes the document to find mentions of each candidate with a powerful reader module. Our approach combines progress in entity linking with that in open-domain question answering and capitalizes on pretrained models for dense entity retrieval and reading comprehension. Unlike in previous works, we do not rely on a mention-candidates dictionary or large-scale weak supervision. EntQA achieves strong results on the GERBIL benchmarking platform.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). Builds on 27 of its 48 references that are in the map. First posted on arXiv 5 Oct 2021.

Builds on

27 of 48 references.

References · 27

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  4. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  5. 2017Billion-scale similarity search with GPUscited by 2,477
  6. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,538
  7. 2020KILT: a Benchmark for Knowledge Intensive Language Taskscited by 571
  8. 2017Zero-Shot Relation Extraction via Reading Comprehensioncited by 425
  9. 2020Autoregressive Entity Retrievalcited by 333
  10. 2017End-to-end Neural Coreference Resolutioncited by 240
  11. 2018The Natural Language Decathlon: Multitask Learning as Question Answeringcited by 235
  12. 2019A Unified MRC Framework for Named Entity Recognitioncited by 199
15 more
  1. 2019Learning Dense Representations for Entity Retrievalcited by 122
  2. 2019Entity-Relation Extraction as Multi-Turn Question Answeringcited by 96
  3. 2019Coreference Resolution as Query-based Span Predictioncited by 91
  4. 2018End-to-End Neural Entity Linkingcited by 85
  5. 2019Scalable Zero-shot Entity Linking with Dense Entity Retrievalcited by 85
  6. 2017Deep Joint Entity Disambiguation with Local Neural Attentioncited by 79
  7. 2020REL: An Entity Linker Standing on the Shoulders of Giantscited by 61
  8. 2021Efficient Passage Retrieval with Hashing for Open-domain Question Answeringcited by 53
  9. 2020Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linkingcited by 49
  10. 2021Understanding Hard Negatives in Noise Contrastive Estimationcited by 39
  11. 2019A BERT Baseline for the Natural Questionscited by 33
  12. 2019Joint Learning of Named Entity Recognition and Entity Linkingcited by 26
  13. 2014Analysis of Named Entity Recognition and Linking for Tweetscited by 20
  14. 2017Word-Entity Duet Representations for Document Rankingcited by 16
  15. 2018Collective Entity Disambiguation with Structured Gradient Tree Boostingcited by 16

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 12; 2024: 12; 2025: 6; 2026: 1.

34 papers.

Sort:

By area:

  1. 2023Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entitiescited by 112
  2. 2022Named Entity and Relation Extraction with Multi-Modal Retrievalcited by 26
  3. 2023Instructed Language Models with Retrievers Are Powerful Entity Linkerscited by 18
  4. 2024ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budgetcited by 16
  5. 2023TempEL: Linking Dynamically Evolving and Newly Emerging Entitiescited by 14
  6. 2024OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMscited by 14
  7. 2024Grounding Language Models for Visual Entity Recognitioncited by 12
  8. 2023SpEL: Structured Prediction for Entity Linkingcited by 11
  9. 2023DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognitioncited by 9
  10. 2024OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Promptingcited by 9
  11. 2023AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributescited by 8
  12. 2024ChatEL: Entity Linking with Chatbotscited by 8
22 more
  1. 2023Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linkingcited by 7
  2. 2024EntGPT: Entity Linking with Generative Large Language Modelscited by 6
  3. 2022DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linkingcited by 5
  4. 2023Benchmarking Diverse-Modal Entity Linking with Generative Modelscited by 5
  5. 2025ImpRAG: Retrieval-Augmented Generation with Implicit Queriescited by 5
  6. 2025Contextual Augmentation for Entity Linking using Large Language Modelscited by 5
  7. 2022Personal Entity, Concept, and Named Entity Linking in Conversationscited by 4
  8. 2024Entity Disambiguation via Fusion Entity Decodingcited by 4
  9. 2024Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modelingcited by 4
  10. 2024Unified Examination of Entity Linking in Absence of Candidate Setscited by 3
  11. 2024Entity Insertion in Multilingual Linked Corpora: The Case of Wikipediacited by 3
  12. 2023Exploring Partial Knowledge Base Inference in Biomedical Entity Linkingcited by 2
  13. 2023Retrieval-Augmented Meta Learning for Low-Resource Text Classificationcited by 2
  14. 2024Span-Oriented Information Extraction -- A Unifying Perspective on Information Extractioncited by 2
  15. 2025Musical Heritage Historical Entity Linkingcited by 2
  16. 2025Evaluation of LLMs on Long-tail Entity Linking in Historical Documentscited by 2
  17. 2025An Entity Linking Agent for Question Answeringcited by 2
  18. 2023Do Language Models Learn about Legal Entity Types during Pretraining?cited by 1
  19. 2024Argument-Aware Approach To Event Linkingcited by 1
  20. 2026ReNCE: Learning to Reason by Noise Contrastive Estimationcited by 1
  21. 2023MeKB-Rec: Personal Knowledge Graph Learning for Cross-Domain Recommendationcited by 0
  22. 2025Learning to Retrieve with Weakened Labels: Robust Training under Label Noisecited by 0