---
title: "Who cites Moving Down the Long Tail of Word Sense…"
description: "93 papers of the Elamur Research library cite «Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/cited-by/"
---
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# Who cites «Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders»

93 papers of our library cite it (of the 140,884 whose bibliographies we read) · 5 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/)

1. [**ID10M: Idiom Identification in 10 Languages**Simone Tedeschi, Federico Martelli, Roberto Navigli*2022 · 49 citations*](https://md.research.elamur.ai/free/en/papers/tedeschi-2022-id10m-idiom-identification-10-languages/)
2. [**Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution**Hieu Minh Tran, Duy Phung, Thien Huu Nguyen*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/tran-2021-exploiting-document-structures-cluster-consistencies/)
3. [**Exemplification Modeling: Can You Give Me an Example, Please?**Edoardo Barba, Luigi Procopio, Caterina Lacerra*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/barba-2021-exemplification-modeling/)
4. [**Do Large Language Models Understand Word Senses?**Domenico Meconi, Simone Stirpe, Federico Martelli*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/meconi-2025-llms-word-senses/)
5. [**Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation**Andrew Moore, Paul Rayson, Dawn Archer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moore-2026-creating-hybrid-rule-neural-network/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/) — Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders
