Irene Dini — accepted AI-conference papers

2023

Coherent or Not? Stressing a Neural Language Model for Discourse Coherence in Multiple Languages

Dominique Brunato, Felice Dell’Orletta, Irene Dini, Andrea Amelio Ravelli

ACL 2023findings

In this study, we investigate the capability of a Neural Language Model (NLM) to distinguish between coherent and incoherent text, where the latter has been artificially created to gradually undermine local coherence within text. While previous research on coherence assessment using NLMs has primari…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2022

How about Time? Probing a Multilingual Language Model for Temporal Relations

Tommaso Caselli, Irene Dini, Felice Dell’Orletta

COLING 2022main

This paper presents a comprehensive set of probing experiments using a multilingual language model, XLM-R, for temporal relation classification between events in four languages. Results show an advantage of contextualized embeddings over static ones and a detrimen- tal role of sentence level embeddi…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗