Publications

(2025). GRASP at CoMeDi Shared Task: Multi-Strategy Modeling of Annotator Behavior in Multi-Lingual Semantic Judgments. In Proceedings of Context and Meaning: Navigating Disagreements in NLP Annotation.

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(2024). DWUGs-IT: Extending and Standardizing Lexical Semantic Change Detection for Italian. in Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024).

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(2024). More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

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(2024). Enhancing Swedish Parliamentary Data: Annotation, Accessibility, and Application in Digital Humanities. in Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities.

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(2024). Automatically Generated Definitions and their utility for Modeling Word Meaning. in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

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(2024). The DURel Annotation Tool: Using Fine-Tuned LLMs to Discover Non-Recorded Senses in Multiple Languages. in Book of Abstracts of the Workshop Large Language Models and Lexicography.

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(2024). Sense Through Time: Diachronic Word Sense Annotations for Word Sense Induction and Lexical Semantic Change Detection. Sense Through Time: Diachronic Word Sense Annotations for Word Sense Induction and Lexical Semantic Change Detection.

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(2024). Presence or Absence: Are Unknown Word Usages in Dictionaries?. Presence or Absence: Are Unknown Word Usages in Dictionaries?.

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(2024). Enriching Word Usage Graphs with Cluster Definitions. Enriching Word Usage Graphs with Cluster Definitions.

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(2024). Improving Word Usage Graphs with Edge Induction. in Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change.

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(2024). Complexity and Indecision: A Proof-of-Concept Exploration of Lexical Complexity and Lexical Semantic Change. in Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change.

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(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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(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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(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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(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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(2024). Towards a Complete Solution to Lexical Semantic Change: an Extension to Multiple Time Periods and Diachronic Word Sense Induction. in Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change.

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(2024). Quantitative text analysis. Quantitative text analysis.

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(2024). Computational modeling of semantic change. in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics.

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(2024). The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks. The LSCD Benchmark.

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(2024). Toward Sentiment Aware Semantic Change Analysis. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop.

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

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(2024). A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change. in Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguisticse.

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(2024). The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change. The DURel Annotation Tool.

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(2024). Revealing Semantic Variation in Swedish Using Computational Models of Semantic Proximity – Results From Lexicographical Experiments. Revealing Semantic Variation in Swedis.

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(2024). (Chat)GPT v BERT Dawn of Justice for Semantic Change Detection. (Chat)GPT v BERT.

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(2023). The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change. DURel Tool.

(2023). ChiWUG: A Graph-based Evaluation Dataset for Chinese Lexical Semantic Change Detection. ChiWUG.

(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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(2023). XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE. XL-LEXEME.

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

(2023). A Survey on Contextualised Semantic Shift Detection. Survey of Contextualized Semantic Shift Detection.

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(2023). The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection. The Finer They Get.

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(2023). Computational modeling of semantic change. Computational modeling of semantic change.

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(2022). TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse. in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

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(2022). DiaWUG: A Dataset for Diatopic Lexical Semantic Variation in Spanish. DiaWUG.

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(2021). Survey of computational approaches to lexical semantic change detection . Survey of semantic change.

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(2021). LSCDiscovery: A shared task on semantic change discovery and detection in Spanish. LSCDiscovery.

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