---
title: "Who cites HyperLex: A Large-Scale — 58 citing papers"
description: "58 papers of the Elamur Research library cite «HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [HyperLex: A Large-Scale Evaluation of Graded…](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) / cited by

# Who cites «HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment»

58 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment»](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/)

1. [**Poincaré Embeddings for Learning Hierarchical Representations**Maximilian Nickel, Douwe Kiela*2017 · 327 citations*](https://md.research.elamur.ai/free/en/papers/nickel-2017-poincare-embeddings-learning-hierarchical-representations/)
2. [**Specialising Word Vectors for Lexical Entailment**Ivan Vulić, Nikola Mrkšić*2018 · 160 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2018-specialising-word-vectors-lexical-entailment/)
3. [**Uncertain Natural Language Inference**Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-uncertain-natural-language-inference/)
4. [**One Word Is Not Enough: Simple Prompts Improve Word Embeddings**Rajeev Ranjan*2026*](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) — HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment