mlsanityData to 7 Oct 2026

Reddit Entity Linking Dataset

arXiv 2101.01228 ↗First posted 4 Jan 2021cs.CLcited by 7

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Abstract (arXiv)

We introduce and make publicly available an entity linking dataset from Reddit that contains 17,316 linked entities, each annotated by three human annotators and then grouped into Gold, Silver, and Bronze to indicate inter-annotator agreement. We analyze the different errors and disagreements made by annotators and suggest three types of corrections to the raw data. Finally, we tested existing entity linking models that are trained and tuned on text from non-social media datasets. We find that, although these existing entity linking models perform very well on their original datasets, they perform poorly on this social media dataset. We also show that the majority of these errors can be attributed to poor performance on the mention detection subtask. These results indicate the need for better entity linking models that can be applied to the enormous amount of social media text.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 29 of its 58 references that are in the map. First posted on arXiv 4 Jan 2021.

Builds on

29 of 58 references.

References · 29

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
  3. 2020LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentioncited by 326
  4. 2017A Knowledge-Grounded Neural Conversation Modelcited by 136
  5. 2019Zero-Shot Entity Linking by Reading Entity Descriptionscited by 124
  6. 2019A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelscited by 117
  7. 2018End-to-End Neural Entity Linkingcited by 85
  8. 2019Dreaddit: A Reddit Dataset for Stress Analysis in Social Mediacited by 81
  9. 2017Deep Joint Entity Disambiguation with Local Neural Attentioncited by 79
  10. 2018Linguistically-Informed Self-Attention for Semantic Role Labelingcited by 71
  11. 2017Open-World Knowledge Graph Completioncited by 64
  12. 2017A Large Self-Annotated Corpus for Sarcasmcited by 63
17 more
  1. 2020REL: An Entity Linker Standing on the Shoulders of Giantscited by 61
  2. 2018Improving Entity Linking by Modeling Latent Relations between Mentionscited by 53
  3. 2020Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linkingcited by 49
  4. 2016Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguationcited by 48
  5. 2020Neural Entity Linking: A Survey of Models Based on Deep Learningcited by 46
  6. 2018DeepType: Multilingual Entity Linking by Neural Type System Evolutioncited by 41
  7. 2019GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehensioncited by 41
  8. 2019Fine-Grained Entity Typing for Domain Independent Entity Linkingcited by 36
  9. 2014Context-Dependent Fine-Grained Entity Type Taggingcited by 30
  10. 2019Joint Entity Linking with Deep Reinforcement Learningcited by 27
  11. 2014Analysis of Named Entity Recognition and Linking for Tweetscited by 20
  12. 2019Learning Dynamic Context Augmentation for Global Entity Linkingcited by 19
  13. 2016Neural Architectures for Fine-grained Entity Type Classificationcited by 15
  14. 2019Boosting Entity Linking Performance by Leveraging Unlabeled Documentscited by 12
  15. 2019Changing Views: Persuasion Modeling and Argument Extraction from Online Discussionscited by 11
  16. 2018Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Mediacited by 6
  17. 2018She's Reddit: A source of statistically significant gendered interest information?cited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 3; 2025: 0; 2026: 1.

7 papers.