🧑‍🔬 Who cites Nina Tahmasebi

266 citations of their works from 226 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← Nina Tahmasebi

1. Can Large Language Models Transform Computational Social Science?Computational LinguisticsCaleb Ziems, William Held, Omar Shaikh, et al.2023 · 790 citations
2. SemEval-2020 Task 1: Unsupervised Lexical Semantic Change DetectionInternational Workshop on Semantic Evaluation (SemEval)Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, et al.2020 · 351 citations
3. Time-Aware Language Models as Temporal Knowledge BasesTransactions of the Association for Computational Linguistics (TACL)Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, et al.2022 · 349 citations
4. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
5. Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into SensesTransactions of the Association for Computational Linguistics (TACL)Aina Garí Soler, Marianna Apidianaki2021 · 75 citations
6. CCOHA: Clean Corpus of Historical American EnglishReem Alatrash, Dominik Schlechtweg, Jonas Kuhn, et al.2020 · 63 citations
7. Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change AnalysisMario Giulianelli, Iris Luden, Raquel Fernandez, et al.2023 · 40 citations
8. MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)Enrique Manjavacas Arevalo, Lauren Fonteyn2021 · 23 citations
9. Evolving linguistic divergence on polarizing social mediaHumanities and Social Sciences CommunicationsAndres Karjus, Christine Cuskley2023 · 16 citations
10. From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English LettersarXiv:2103.09926Tanja Saily, Eetu Makela, Mika Hamalainen2021 · 12 citations
11. The LSCD Benchmark: a Testbed for Diachronic Word Meaning TasksJoint Conference on Lexical and Computational Semantics (*SEM)Dominik Schlechtweg, Sachin Yadav, Jonas Kuhn, et al.2026 · 6 citations
12. Syntactic Language Change in English and German: Metrics, Parsers, and ConvergencesYanran Chen, Wei Zhao, Anne Breitbarth, et al.2024 · 5 citations
13. In the LLM era, Word Sense Induction remains unsolvedAnna Mosolova, Marie Candito, Carlos Ramisch2025 · 4 citations
14. Machines in the media: semantic change in the lexicon of mechanization in 19th-century British newspapersInternational Conference on Natural Language Processing for the Digital HumanitiesNilo Pedrazzini, Barbara McGillivray2022 · 4 citations
15. Semantic Change Characterization with LLMs using RhetoricsProceedings for the International Workshop on Computational Approaches to Language ChangeJáder Martins Camboim de Sá, Jooyoung Lee, Marcos Da Silveira, et al.2026 · 3 citations
16. Start Making Sense(s): A Developmental Probe of Attention Specialization Using Lexical AmbiguityTransactions of the Association for Computational Linguistics (TACL)Pamela D. Rivière, Sean Trott2026 · 1 citation
17. Taien at SemEval-2026 Task 9: Multilingual Polarization Detection Using Transformer-based ModelsInternational Workshop on Semantic Evaluation (SemEval)Saida Taien, Palash Hossen2026 · 1 citation
18. Transparent Semantic Change Detection with Dependency-Based ProfilesProceedings for the International Workshop on Computational Approaches to Language ChangeBach Phan Tat, Kris Heylen, Dirk Geeraerts, et al.2026 · 1 citation
19. AmDi - Ambiguous Words Diachronic DatasetLanguage Resources and Evaluation Conference (LREC)Felix Thielen, Kai Kugler2026
20. Capturing Ancient Chinese Sense Induction with Automatic PipelinesWorkshop on Language Technologies for Historical and Ancient Languages @ LRECGuan-Yu Tseng, Chunki Lim, Chih-Han Lin, et al.2026
21. Insights from Transfer Learning Experiments with Word-in-Context and Word Sense Disambiguation ModelsLanguage Resources and Evaluation Conference (LREC)Alp Mujko, Dominik Schlechtweg2026
22. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026
23. WoVis: Interactive Visualization of Word Embeddings for Semantic Change in Historical and Dialectal Language ResourcesWorkshop on Dialects in NLP –- A Resource PerspectiveFilip Miletić, Maximilian Henkel, Rene Cutura, et al.2026

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