mlsanityData to 7 Oct 2026

Named Entity Disambiguation for Noisy Text

arXiv 1706.09147 ↗First posted 28 Jun 2017cs.CLcited by 24

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Abstract (arXiv)

We address the task of Named Entity Disambiguation (NED) for noisy text. We present WikilinksNED, a large-scale NED dataset of text fragments from the web, which is significantly noisier and more challenging than existing news-based datasets. To capture the limited and noisy local context surrounding each mention, we design a neural model and train it with a novel method for sampling informative negative examples. We also describe a new way of initializing word and entity embeddings that significantly improves performance. Our model significantly outperforms existing state-of-the-art methods on WikilinksNED while achieving comparable performance on a smaller newswire dataset.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jun 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 5; 2023: 7; 2024: 4; 2025: 1; 2026: 2.

24 papers.

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  1. 2022ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linkingcited by 74
  2. 2021Multimodal Entity Linking for Tweetscited by 28
  3. 2021WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipediacited by 23
  4. 2021Entity Linking Meets Deep Learning: Techniques and Solutionscited by 21
  5. 2021Read, Retrospect, Select: An MRC Framework to Short Text Entity Linkingcited by 14
  6. 2023TempEL: Linking Dynamically Evolving and Newly Emerging Entitiescited by 14
  7. 2023Multi-Grained Multimodal Interaction Network for Entity Linkingcited by 12
  8. 2023A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linkingcited by 11
  9. 2021What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Datacited by 10
  10. 2023Learn to Not Link: Exploring NIL Prediction in Entity Linkingcited by 7
  11. 2022Effective Few-Shot Named Entity Linking by Meta-Learningcited by 6
  12. 2026LELA: an LLM-based Entity Linking Approach with Zero-Shot Domain Adaptationcited by 6
12 more
  1. 2023GLADIS: A General and Large Acronym Disambiguation Benchmarkcited by 5
  2. 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
  3. 2024UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Modelscited by 4
  4. 2022Multilingual Event Linking to Wikidatacited by 3
  5. 2025DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linkingcited by 3
  6. 2024DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linkingcited by 2
  7. 2026Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linkingcited by 1
  8. 2022Building an Icelandic Entity Linking Corpuscited by 0
  9. 2022Cross-Domain Neural Entity Linkingcited by 0
  10. 2023Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Inputcited by 0
  11. 2024DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Modelcited by 0
  12. 2024JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chasecited by 0