---
title: "Who cites Learning Distributed — 28 citing papers"
description: "28 papers of the Elamur Research library cite «Learning Distributed Representations of Texts and Entities from Knowledge Base», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/yamada-2017-learning-distributed-representations-texts-entities/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Learning Distributed Representations of Texts and…](https://md.research.elamur.ai/free/en/papers/yamada-2017-learning-distributed-representations-texts-entities/) / cited by

# Who cites «Learning Distributed Representations of Texts and Entities from Knowledge Base»

28 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Learning Distributed Representations of Texts and Entities from Knowledge Base»](https://md.research.elamur.ai/free/en/papers/yamada-2017-learning-distributed-representations-texts-entities/)

1. **[Learning Dense Representations for Entity Retrieval](https://md.research.elamur.ai/free/en/papers/gillick-2019-learning-dense-representations-entity-retrieval/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Daniel Gillick, Sayali Kulkarni, Larry Lansing, et al.*2019 · 305 citations*
2. **[Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking](https://md.research.elamur.ai/free/en/papers/broscheit-2019-investigating-entity-knowledge-bert-simple/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Samuel Broscheit*2019 · 140 citations*

26 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/yamada-2017-learning-distributed-representations-texts-entities/) — Learning Distributed Representations of Texts and Entities from Knowledge Base
