# OpenTapioca: Lightweight Entity Linking for Wikidata

arXiv: https://arxiv.org/abs/1904.09131 · HTML: https://mlsanity.com/paper/1904.09131/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Apr 2019.

## Built on by (most cited first, 14 of 14)

- [ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking](https://mlsanity.com/paper/2207.04108/) (2022)
- [CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata](https://mlsanity.com/paper/2101.09969/) (2021)
- [Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking](https://mlsanity.com/paper/2202.13404/) (2022)
- [CreoleVal: Multilingual Multitask Benchmarks for Creoles](https://mlsanity.com/paper/2310.19567/) (2023)
- [Survey on English Entity Linking on Wikidata](https://mlsanity.com/paper/2112.01989/) (2021)
- [Extracting Mathematical Concepts from Text](https://mlsanity.com/paper/2208.13830/) (2022)
- [Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines](https://mlsanity.com/paper/2102.10966/) (2021)
- [Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking](https://mlsanity.com/paper/2107.02865/) (2021)
- [Strong Heuristics for Named Entity Linking](https://mlsanity.com/paper/2207.02824/) (2022)
- [User-friendly Comparison of Similarity Algorithms on Wikidata](https://mlsanity.com/paper/2108.05410/) (2021)
- [An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph](https://mlsanity.com/paper/2312.02334/) (2023)
- [Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking](https://mlsanity.com/paper/2604.20283/) (2026)
- [FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments](https://mlsanity.com/paper/2407.09888/) (2024)
- [Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms](https://mlsanity.com/paper/2512.05967/) (2025)

## Abstract (arXiv)

We propose a simple Named Entity Linking system that can be trained from Wikidata only. This demonstrates the strengths and weaknesses of this data source for this task and provides an easily reproducible baseline to compare other systems against. Our model is lightweight to train, to run and to keep synchronous with Wikidata in real time.