Papers by Arianna Graciotti
GOLEMcoref: A Multilingual Coreference Dataset of Fiction (2026.acl-short)
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Andreas Van Cranenburgh, Xiaoyan Yang, null Alvanita, Cecilia Nicole Di Domenico, Maria Ferragud, Arianna Graciotti, Byungjun Kim, Seonyeong Park, Noa Visser Solissa, Xiaoyu Zhou, Federico Pianzola
| Challenge: | Despite considerable progress, most research still focuses predominantly on English . fictional texts bring additional challenges not covered by standard benchmark datasets . |
| Approach: | They present a multilingual coreference dataset of 827k fanfiction tokens in 7 languages . they discuss their annotation scheme and language-specific challenges . |
| Outcome: | The proposed dataset includes full stories of diverse lengths, ranging from 500 to 17k words. |
Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities (2024.lrec-main)
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| Challenge: | In this paper, we compare two different approaches to the free-form Question Answering task. |
| Approach: | They propose to use a new benchmark to test knowledge representations on a dynamic benchmark. |
| Outcome: | The proposed benchmark is particularly challenging and the best model answers only on 50% of the questions. |
KE-MHISTO: Towards a Multilingual Historical Knowledge Extraction Benchmark for Addressing the Long-Tail Problem (2025.findings-acl)
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Arianna Graciotti, Leonardo Piano, Nicolas Lazzari, Enrico Daga, Rocco Tripodi, Valentina Presutti, Livio Pompianu
| Challenge: | Large Language Models struggle when probed for long-tail knowledge due to the inherent sparsity of such data. |
| Approach: | They propose a multilingual benchmark for Entity Linking and Question Answering in the domain of historical music knowledge that provides broader coverage of long-tail knowledge. |
| Outcome: | The proposed model provides broader coverage of long-tail knowledge compared to existing models. |