Reddit Entity Linking Dataset
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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
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
- 2020LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentioncited by 326
- 2017A Knowledge-Grounded Neural Conversation Modelcited by 136
- 2019Zero-Shot Entity Linking by Reading Entity Descriptionscited by 124
- 2019A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelscited by 117
- 2018End-to-End Neural Entity Linkingcited by 85
- 2019Dreaddit: A Reddit Dataset for Stress Analysis in Social Mediacited by 81
- 2017Deep Joint Entity Disambiguation with Local Neural Attentioncited by 79
- 2018Linguistically-Informed Self-Attention for Semantic Role Labelingcited by 71
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- 2017A Large Self-Annotated Corpus for Sarcasmcited by 63
17 more
- 2020REL: An Entity Linker Standing on the Shoulders of Giantscited by 61
- 2018Improving Entity Linking by Modeling Latent Relations between Mentionscited by 53
- 2020Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linkingcited by 49
- 2016Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguationcited by 48
- 2020Neural Entity Linking: A Survey of Models Based on Deep Learningcited by 46
- 2018DeepType: Multilingual Entity Linking by Neural Type System Evolutioncited by 41
- 2019GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehensioncited by 41
- 2019Fine-Grained Entity Typing for Domain Independent Entity Linkingcited by 36
- 2014Context-Dependent Fine-Grained Entity Type Taggingcited by 30
- 2019Joint Entity Linking with Deep Reinforcement Learningcited by 27
- 2014Analysis of Named Entity Recognition and Linking for Tweetscited by 20
- 2019Learning Dynamic Context Augmentation for Global Entity Linkingcited by 19
- 2016Neural Architectures for Fine-grained Entity Type Classificationcited by 15
- 2019Boosting Entity Linking Performance by Leveraging Unlabeled Documentscited by 12
- 2019Changing Views: Persuasion Modeling and Argument Extraction from Online Discussionscited by 11
- 2018Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Mediacited by 6
- 2018She's Reddit: A source of statistically significant gendered interest information?cited by 1
Built on by
Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 3; 2025: 0; 2026: 1.
7 papers.
- 2024ChatEL: Entity Linking with Chatbotscited by 8
- 2024Entity Disambiguation via Fusion Entity Decodingcited by 4
- 2024DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAGcited by 4
- 2021Posthoc Verification and the Fallibility of the Ground Truthcited by 3
- 2022Building an Icelandic Entity Linking Corpuscited by 0
- 2022Cross-Domain Neural Entity Linkingcited by 0
- 2026Select, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selectioncited by 0
- 2026Select, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selection17 Aug 2026
- 2024DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG15 Oct 2024
- 2024Entity Disambiguation via Fusion Entity Decoding2 Apr 2024
- 2024ChatEL: Entity Linking with Chatbots20 Feb 2024
- 2022Cross-Domain Neural Entity Linking28 Sep 2022
- 2022Building an Icelandic Entity Linking Corpus10 Jun 2022
- 2021Posthoc Verification and the Fallibility of the Ground Truth2 Jun 2021