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Student Publication
Dynamic Demonstrations Selection for Few-Shot Legal Argument Mining
Francesco Alfieri
,
Giulia Grundler
,
Francesca Galloni
,
Rūta Liepiņa
,
Francesca Lagioia
,
Andrea Galassi
,
Paolo Torroni
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Is It Worth Using LLMs for Unfair Clause Detection in Terms of Service?
🏆 Awarded the “Peter Jackson” Award for Best Innovative Application Paper
Marco Panarelli
,
Andrea Galassi
,
Francesca Lagioia
,
Rūta Liepiņa
,
Marco Lippi
,
Przemysław Pałka
,
Giovanni Sartor
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DOI
MAMKit: A Comprehensive Multimodal Argument Mining Toolkit
Multimodal Argument Mining (MAM) is a recent area of research aiming to extend argument analysis and improve discourse understanding by …
Eleonora Mancini
,
Federico Ruggeri
,
Stefano Colamonaco
,
Andrea Zecca
,
Samuele Marro
,
Paolo Torroni
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DOI
URL
A Corpus for Sentence-Level Subjectivity Detection on English News Articles
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues. We …
Francesco Antici
,
Federico Ruggeri
,
Andrea Galassi
,
Katerina Korre
,
Arianna Muti
,
Alessandra Bardi
,
Alice Fedotova
,
Alberto Barrón-Cedeño
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TeamUnibo at SemEval-2023 Task 6: A transformer based approach to Rhetorical Roles prediction and NER in Legal Texts
This study aims to tackle some challenges posed by legal texts in the field of NLP. The LegalEval challenge proposes three tasks, based …
Yuri Noviello
,
Enrico Pallotta
,
Flavio Pinzarrone
,
Giuseppe Tanzi
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DOI
A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts
Cryptocurrencies have gained enormous momentum in finance and are nowadays commonly adopted as a medium of exchange for online …
Pavlo Seroyizhko
,
Zhanel Zhexenova
,
Muhammad Zohaib Shafiq
,
Fabio Merizzi
,
Andrea Galassi
,
Federico Ruggeri
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DOI
URL
Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts
Creating balanced labeled textual corpora for complex tasks, like legal analysis, is a challenging and expensive process that often …
Sezen Perçin
,
Andrea Galassi
,
Francesca Lagioia
,
Federico Ruggeri
,
Piera Santin
,
Giovanni Sartor
,
Paolo Torroni
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DOI
URL
Fast Vocabulary Transfer for Language Model Compression
Real-world business applications require a trade-off between language model performance and size. We propose a new method for model …
Leonidas Gee
,
Andrea Zugarini
,
Leonardo Rigutini
,
Paolo Torroni
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