---
title: "Who cites Semeval-2022 Task 1: CODWOE — 38 citing papers"
description: "38 papers of the Elamur Research library cite «Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings», found in…"
canonical: "https://research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Semeval-2022 Task 1: CODWOE – Comparing…](https://md.research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/) / cited by

# Who cites «Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings»

38 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings»](https://md.research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/)

1. [**Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis**Mario Giulianelli, Iris Luden, Raquel Fernandez, et al.*2023 · 40 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2023-definition-generation-senses/)
2. [**WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models**Fatemah Yousef Almeman, Steven Schockaert, Luis Espinosa Anke*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/almeman-2024-wordnet-examples-llm/)
3. [**Advancing Arabic Reverse Dictionary Systems: A Transformer-Based Approach with Dataset Construction Guidelines arXiv:2504.21475**Serry Sibaee, Samar Ahmed, Abdullah Al Harbi, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/sibaee-2025-advancing-arabic-reverse-dictionary-systems/)
4. [**MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset arXiv:2601.21512**Serry Sibaee, Yasser Alhabashi, Nadia Sibai, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sibaee-2026-murad-large-scale-multi-domain/)
5. **[SemBench: A Universal Semantic Framework for LLM Evaluation](https://md.research.elamur.ai/free/en/papers/zubillaga-2026-sembench-universal-semantic-framework-llm/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mikel Zubillaga, Naiara Perez, Oscar Sainz, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/) — Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings