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CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata

arXiv 2101.09969 ↗First posted 25 Jan 2021cs.CLcited by 14

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Abstract (arXiv)

In this paper, we propose CHOLAN, a modular approach to target end-to-end entity linking (EL) over knowledge bases. CHOLAN consists of a pipeline of two transformer-based models integrated sequentially to accomplish the EL task. The first transformer model identifies surface forms (entity mentions) in a given text. For each mention, a second transformer model is employed to classify the target entity among a predefined candidates list. The latter transformer is fed by an enriched context captured from the sentence (i.e. local context), and entity description gained from Wikipedia. Such external contexts have not been used in the state of the art EL approaches. Our empirical study was conducted on two well-known knowledge bases (i.e., Wikidata and Wikipedia). The empirical results suggest that CHOLAN outperforms state-of-the-art approaches on standard datasets such as CoNLL-AIDA, MSNBC, AQUAINT, ACE2004, and T-REx.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 18 of its 43 references that are in the map. First posted on arXiv 25 Jan 2021.

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18 of 43 references.

References · 18

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6 more
  1. 2019Joint Entity Linking with Deep Reinforcement Learningcited by 27
  2. 2018Neural Collective Entity Linkingcited by 21
  3. 2019Learning Dynamic Context Augmentation for Global Entity Linkingcited by 19
  4. 2020Empirical Evaluation of Pretraining Strategies for Supervised Entity Linkingcited by 17
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Citing papers per year: 2021: 3; 2022: 5; 2023: 3; 2024: 2; 2025: 1.

14 papers.

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  1. 2022A Survey of Knowledge-Intensive NLP with Pre-Trained Language Modelscited by 30
  2. 2021Highly Parallel Autoregressive Entity Linking with Discriminative Correctioncited by 21
  3. 2021Entity Linking Meets Deep Learning: Techniques and Solutionscited by 21
  4. 2022BLINK with Elasticsearch for Efficient Entity Linking in Business Conversationscited by 13
  5. 2022Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problemcited by 11
  6. 2023SpEL: Structured Prediction for Entity Linkingcited by 11
  7. 2022Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linkingcited by 10
  8. 2021Compositional Generalization in Multilingual Semantic Parsing over Wikidatacited by 9
  9. 2023AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributescited by 8
  10. 2022EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graphcited by 3
  11. 2024Unified Examination of Entity Linking in Absence of Candidate Setscited by 3
  12. 2023A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systemscited by 2
2 more
  1. 2025Evaluation of LLMs on Long-tail Entity Linking in Historical Documentscited by 2
  2. 2024CYCLE: Cross-Year Contrastive Learning in Entity-Linkingcited by 0