6 citations · 10 across the 8 of their papers we have counts for
9 papers
Generative AI Practices, Literacy, and Divides: An Empirical Analysis in the Italian Context
Beatrice Savoldi, Giuseppe Attanasio, Olga Gorodetskaya +10
The rise of generative AI (GenAI) chatbots accessible via conversational interfaces is transforming digital interactions and holds economic promise. However, these tools might deep…
Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches
Alan Ramponi, Marco Rovera, Robert Moro +1
Retrieval of previously fact-checked claims is a well-established task, whose automation can assist professional fact-checkers in the initial steps of information verification. Pre…
Fine-grained Fallacy Detection with Human Label Variation
Alan Ramponi, Agnese Daffara, Sara Tonelli
We introduce Faina, the first dataset for fallacy detection that embraces multiple plausible answers and natural disagreement. Faina includes over 11K span-level annotations with o…
Translation in the Hands of Many:Centering Lay Users in Machine Translation Interactions
Beatrice Savoldi, Alan Ramponi, Matteo Negri +1
Converging societal and technical factors have transformed language technologies into user-facing applications used by the general public across languages. Machine Translation (MT)…
Variationist: Exploring Multifaceted Variation and Bias in Written Language Data
Alan Ramponi, Camilla Casula, Stefano Menini
Exploring and understanding language data is a fundamental stage in all areas dealing with human language. It allows NLP practitioners to uncover quality concerns and harmful biase…
Language Varieties of Italy: Technology Challenges and Opportunities
Alan Ramponi
Italy is characterized by a one-of-a-kind linguistic diversity landscape in Europe, which implicitly encodes local knowledge, cultural traditions, artistic expressions and history…
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova +6
The lack of publicly available evaluation data for low-resource languages limits progress in Spoken Language Understanding (SLU). As key tasks like intent classification and slot f…
Neural Unsupervised Domain Adaptation in NLP---A Survey
Alan Ramponi, Barbara Plank
Deep neural networks excel at learning from labeled data and achieve state-of-the-art resultson a wide array of Natural Language Processing tasks. In contrast, learning from unlabe…
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP
Rob van der Goot, Ahmet Üstün, Alan Ramponi +2
Transfer learning, particularly approaches that combine multi-task learning with pre-trained contextualized embeddings and fine-tuning, have advanced the field of Natural Language…