---
title: "Who cites Haim Dubossarsky"
description: "250 papers of the Elamur Research library cite the works of Haim Dubossarsky, found in their bibliographies; the most cited first."
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---
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# Who cites Haim Dubossarsky

272 citations of their works from 250 papers of our library (of the 140,884 whose bibliographies we read) · 18 with a page here, the most cited first · [← Haim Dubossarsky](https://md.research.elamur.ai/free/en/authors/haim-dubossarsky/)

1. [**Can Large Language Models Transform Computational Social Science?**Caleb Ziems, William Held, Omar Shaikh, et al.*2023 · 776 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/)
2. [**SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection**Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, et al.*2020 · 351 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2020-semeval-2020-task-1-unsupervised/)
3. [**Diachronic word embeddings and semantic shifts: a survey**Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al.*2018 · 282 citations*](https://md.research.elamur.ai/free/en/papers/kutuzov-2018-diachronic-word-embeddings-semantic-shifts/)
4. [**Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change**Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann*2018 · 158 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2018-diachronic-usage-relatedness-durel-framework/)
5. [**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/)
6. [**Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods**Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick*2020 · 31 citations*](https://md.research.elamur.ai/free/en/papers/ryskina-2020-neologisms-distributional/)
7. [**MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)**Enrique Manjavacas Arevalo, Lauren Fonteyn*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/arevalo-2021-macberth-development-evaluation-historically-pre/)
8. [**Evaluating Word Embeddings on Low-Resource Languages**Nathan Stringham, Mike Izbicki*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/stringham-2020-evaluating-word-embeddings-low-resource/)
9. [**The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks**Dominik Schlechtweg, Sachin Yadav, Jonas Kuhn, et al.*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2026-lscd-benchmark-testbed-diachronic-word/)
10. [**In the LLM era, Word Sense Induction remains unsolved**Anna Mosolova, Marie Candito, Carlos Ramisch*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/mosolova-2025-wsi-unsolved/)
11. [**Detecting Syntactic Change Using a Neural Part-of-Speech Tagger**William Merrill, Gigi Stark, Robert Frank*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/merrill-2019-detecting-syntactic-change-neural-part/)
12. [**Semantic Change Characterization with LLMs using Rhetorics**Jáder Martins Camboim de Sá, Jooyoung Lee, Marcos Da Silveira, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/sa-2026-semantic-change-characterization-llms-rhetorics/)
13. [**Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction**Filip Miletić, Sabine Schulte im Walde*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/miletic-2025-modeling-evolution-english-noun-compounds/)
14. [**Transparent Semantic Change Detection with Dependency-Based Profiles**Bach Phan Tat, Kris Heylen, Dirk Geeraerts, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tat-2026-transparent-semantic-change-detection-dependency/)
15. [**AmDi - Ambiguous Words Diachronic Dataset**Felix Thielen, Kai Kugler*2026*](https://md.research.elamur.ai/free/en/papers/thielen-2026-amdi-ambiguous-words-diachronic-dataset/)
16. [**From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media**Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ryskina-2026-sunblock-softblock-analyzing-correlates-neology/)
17. [**Insights from Transfer Learning Experiments with Word-in-Context and Word Sense Disambiguation Models**Alp Mujko, Dominik Schlechtweg*2026*](https://md.research.elamur.ai/free/en/papers/mujko-2026-insights-transfer-learning-experiments-word/)
18. [**Modeling Changing Scientific Concepts with Complex Networks: A Case Study on the Chemical Revolution**Sofia Aguilar Valdez, Stefania Degaetano-Ortlieb*2026*](https://md.research.elamur.ai/free/en/papers/valdez-2026-modeling-changing-scientific-concepts-complex/)

232 more citing papers of our library have no page here yet.

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