Publications

Pierluigi Cassotti, Stefano De Pascale, Nina Tahmasebi (2024). Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Francesco Periti, Pierluigi Cassotti, Haim Dubossarsky, Nina Tahmasebi (2024). Analyzing Semantic Change through Lexical Replacements. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Eszter Zsisku, Arkaitz Zubiaga, Haim Dubossarsky (2024). Hate Speech Detection and Reclaimed Language: Mitigating False Positives and Compounded Discrimination. In Proceedings of the 16th ACM Web Science Conference.

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Farheen Dairkee, Haim Dubossarsky (2024). Strengthening the WiC: New Polysemy Dataset in Hindi and Lack of Cross Lingual Transfer. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).

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Kristoffer L. Nielbo, Folgert Karsdorp, Melvin Wevers, Alie Lassche, Rebekah B. Baglini, Mike Kestemont, Nina Tahmasebi (2024). Quantitative text analysis. Quantitative text analysis.

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Pierluigi Cassotti (2024). Computational Approaches to Language Change. PhD Thesis.

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Periti, Francesco, Nina, Tahmasebi (2024). A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change. Contextualized Word Embeddings for Lexical Semantic Change.

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Francesco Periti, Haim Dubossarsky, Nina Tahmasebi (2024). (Chat)GPT v BERT Dawn of Justice for Semantic Change Detection. (Chat)GPT v BERT.

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Dominik Schlechtweg, Shafqat Mumtaz Virk, Pauline Sander, Emma Sköldberg, Lukas Theuer Linke, Tuo Zhang, Nina Tahmasebi, Jonas Kuhn, Sabine Schulte Im Walde (2023). The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change. DURel Tool.

Jing Chen, Emmanuele Chersoni, Dominik Schlechtweg, Jelena Prokic, Chu-Ren Huang (2023). ChiWUG: A Graph-based Evaluation Dataset for Chinese Lexical Semantic Change Detection. ChiWUG.

Periti, Francesco, Picascia, Sergio, Montanelli, Stefano, Ferrara, Alfio, Tahmasebi, Nina (2023). Studying Word Meaning Evolution through Incremental Semantic Shift Detection: A Case Study of Italian ParliamentarySpeeches. Studying Word Meaning Evolution through Incremental Semantic Shift Detection.

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Pierluigi Cassotti, Lucia Siciliani, Marco DeGemmis, Giovanni Semeraro, Pierpaolo Basile (2023). XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE. XL-LEXEME.

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Dominik Schlechtweg (2023). Human and Computational Measurement of Lexical Semantic Change. University of Stuttgart.

Stefano Montanelli, Francesco Periti (2023). A Survey on Contextualised Semantic Shift Detection. Survey of Contextualized Semantic Shift Detection.

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Wei Zhou, Nina Tahmasebi, Haim Dubossarsky (2023). The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection. The Finer They Get.

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Nina Tahmasebi, Haim Dubossarsky (2023). Computational modeling of semantic change. Computational modeling of semantic change.

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Gioia Baldissin, Dominik Schlechtweg, Sabine Schulte Im Walde (2022). DiaWUG: A Dataset for Diatopic Lexical Semantic Variation in Spanish. DiaWUG.

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Nina Tahmasebi, Lars Borin, Adam Jatowt (2021). Survey of computational approaches to lexical semantic change detection . Survey of semantic change.

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Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg (2021). LSCDiscovery: A shared task on semantic change discovery and detection in Spanish. LSCDiscovery.

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