← Search

Marianna Bolognesi

5 accepted papers

2025

How Humans and LLMs Organize Conceptual Knowledge: Exploring Subordinate Categories in Italian

ACL 2025long

People can categorize the same entity at multiple taxonomic levels, such as basic (bear), superordinate (animal), and subordinate (grizzly bear). While prior research has focused on basic-level categories, this study is the first attempt to examine the organization of categories by analyzing exempla…

Cited by 0SourcePDFScholar
2024

Can Large Language Models Interpret Noun-Noun Compounds? A Linguistically-Motivated Study on Lexicalized and Novel Compounds

ACL 2024long

Noun-noun compounds interpretation is the task where a model is given one of such constructions, and it is asked to provide a paraphrase, making the semantic relation between the nouns explicit, as in carrot cake is “a cake made of carrots.” Such a task requires the ability to understand the implici…

2024

Quantifying Generalizations: Exploring the Divide Between Human and LLMs’ Sensitivity to Quantification

ACL 2024long

Generics are expressions used to communicate abstractions about categories. While conveying general truths (e.g., “Birds fly”), generics have the interesting property to admit exceptions (e.g., penguins do not fly). Statements of this type help us organizing our knowledge of the world, and form the…

Cited by 2SourcePDFScholar
2024

Specifying Genericity through Inclusiveness and Abstractness Continuous Scales

COLING 2024main

This paper introduces a novel annotation framework for the fine-grained modeling of Noun Phrases’ (NPs) genericity in natural language. The framework is designed to be simple and intuitive, making it accessible to non-expert annotators and suitable for crowd-sourced tasks. Drawing from theoretical a…

Cited by 2SourcePDFScholar
2024

The Contextual Variability of English Nouns: The Impact of Categorical Specificity beyond Conceptual Concreteness

COLING 2024main

Research on conceptual abstraction has investigated the differences in contextual distributions, or “contextual variability,” of abstract and concrete concept words (e.g., *love* vs. *cat*). Empirical studies on this topic show that abstract words tend to occur in diverse linguistic contexts, while…

Cited by 1SourcePDFScholar