Selected

This chapter provides an overview of key considerations when using computational methods to scan digital text for evidence of semantic …

Digitization and advances in natural language processing have transformed how sociologists can measure, model, and interpret social …

we study the expansion of pluralia tantum, i.e., defective nouns which lack a singular form, like scissors. We base our work on an …

Polysemy enables a single word to convey multiple related meanings, reflecting the conceptual and emotional aspects of language …

This study explores the relationship between manual text classifications linked to corpus metadata and computationally derived text …

Large-scale sense-annotated corpora are important for a range of tasks but are hard to come by. Dictionaries that record and describe …

This paper presents the GRASP team’s systems for the CoMeDi 2025 shared task on disagreement prediction in semantic annotation. The …

Lexical Semantic Change Detection (LSCD) is the task of determining whether a word has undergone a change in meaning over time. There …

Modeling lexical semantics is a challenging task, often suffering from interpretability pitfalls. In this paper, we delve into the …

The Swedish bicameral parliament data presents a valuable textual resource that is of interest for many researches and scholars. The …