Selected

Strengthening the WiC: New Polysemy Dataset in Hindi and Lack of Cross Lingual Transfer
This study addresses the critical issue of Natural Language Processing in low-resource languages such as Hindi, which, despite having …
Farheen Dairkee, Haim Dubossarsky
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Computational modeling of semantic change
Languages change constantly over time, influenced by social, technological, cultural and political factors that affect how people …
Pierluigi Cassotti, Francesco Periti, Stefano De Pascale, Haim Dubossarsky, Nina Tahmasebi
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Quantitative text analysis
Text analysis has undergone substantial evolution since its inception, moving from manual qualitative assessments to sophisticated …
Kristoffer L. Nielbo, Folgert Karsdorp, Melvin Wevers, Alie Lassche, Rebekah B. Baglini, Mike Kestemont, Nina Tahmasebi
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Quantitative text analysis
Towards a Complete Solution to Lexical Semantic Change: an Extension to Multiple Time Periods and Diachronic Word Sense Induction
Thus far, the research community has focused on a simplified computational modeling of semantic change between two time periods. This …
Francesco Periti, Nina Tahmasebi
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The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks
Lexical Semantic Change Detection (LSCD) is a complex, lemma-level task, which is usually operationalized based on two subsequently …
Dominik Schlechtweg, Shafqat Mumtaz Virk, Nikolay Arefyev
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Toward Sentiment Aware Semantic Change Analysis
This student paper explores the potential of augmenting computational models of semantic change with sentiment information. It tests …
Roksana Goworek, Haim Dubossarsky
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Computational Approaches to Language Change
Language is the vital medium through which people communicate and express their needs. To make our communication meaningful, it is …
Pierluigi Cassotti
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Computational Approaches to Language Change
A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change
Contextualized embeddings are the preferred tool for modeling Lexical Semantic Change (LSC). Current evaluations typically focus on a …
Periti, Francesco, Nina, Tahmasebi
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A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change
(Chat)GPT v BERT Dawn of Justice for Semantic Change Detection
In the universe of Natural Language Processing, Transformer-based language models like BERT and (Chat)GPT have emerged as lexical …
Francesco Periti, Haim Dubossarsky, Nina Tahmasebi
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(Chat)GPT v BERT Dawn of Justice for Semantic Change Detection
Revealing Semantic Variation in Swedish Using Computational Models of Semantic Proximity – Results From Lexicographical Experiments
The paper reports a pilot study on the detection of lexical semantic variation in modern Swedish. The starting point of the study is …
Emma Sköldberg, Shafqat Mumtaz Virk, Pauline Sander, Simon Hengchen, Dominik Schlechtweg
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