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ORCIDAndrea Zugarini
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2020 – today
- 2024
[c20]Natalia Graziuso, Andrea Zugarini, Stefano Melacci:
Task-Incremental Learning on Long Text Sequences. CLiC-it 2024- [c19]Andrew Zamai, Leonardo Rigutini, Marco Maggini, Andrea Zugarini:
SLIMER-IT: Zero-Shot NER on Italian Language. CLiC-it 2024 - [c18]Andrea Zugarini, Kamyar Zeinalipour, Achille Fusco, Asya Zanollo:
ECWCA - Educational CrossWord Clues Answering A CALAMITA Challenge. CLiC-it 2024 - [c17]Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini:
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles. LREC/COLING 2024: 3347-3356 - [i20]Andrea Zugarini, Andrew Zamai, Marco Ernandes, Leonardo Rigutini:
BUSTER: a "BUSiness Transaction Entity Recognition" dataset. CoRR abs/2402.09916 (2024) - [i19]Leonidas Gee, Leonardo Rigutini, Marco Ernandes, Andrea Zugarini:
Multi-Word Tokenization for Sequence Compression. CoRR abs/2402.09949 (2024) - [i18]Leonidas Gee, Andrea Zugarini, Leonardo Rigutini, Paolo Torroni:
Fast Vocabulary Transfer for Language Model Compression. CoRR abs/2402.09977 (2024) - [i17]Achille Globo, Antonio Trevisi, Andrea Zugarini, Leonardo Rigutini, Marco Maggini, Stefano Melacci:
Neural paraphrasing by automatically crawled and aligned sentence pairs. CoRR abs/2402.10558 (2024) - [i16]Leonidas Gee, Andrea Zugarini, Novi Quadrianto:
Are Compressed Language Models Less Subgroup Robust? CoRR abs/2403.17811 (2024) - [i15]Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini:
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles. CoRR abs/2404.06186 (2024) - [i14]Andrew Zamai, Andrea Zugarini, Leonardo Rigutini, Marco Ernandes, Marco Maggini:
Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER. CoRR abs/2407.01272 (2024) - [i13]Jacopo D'Abramo, Andrea Zugarini, Paolo Torroni:
Dynamic Few-Shot Learning for Knowledge Graph Question Answering. CoRR abs/2407.01409 (2024) - [i12]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Björn M. Eskofier:
Caption-Driven Explorations: Aligning Image and Text Embeddings through Human-Inspired Foveated Vision. CoRR abs/2408.09948 (2024) - [i11]Andrew Zamai, Leonardo Rigutini, Marco Maggini, Andrea Zugarini:
SLIMER-IT: Zero-Shot NER on Italian Language. CoRR abs/2409.15933 (2024) - 2023
- [c16]Andrea Zugarini, Thomas Rothenbacher, Kai Klede, Marco Ernandes, Bjoern M. Eskofier, Dario Zanca:
Die Rätselrevolution: Automated German Crossword Solving. CLiC-it 2023 - [c15]Andrea Zugarini, Andrew Zamai, Marco Ernandes, Leonardo Rigutini
:
BUSTER: a "BUSiness Transaction Entity Recognition" dataset. EMNLP (Industry Track) 2023: 605-611 - [c14]Leonidas Gee, Leonardo Rigutini, Marco Ernandes, Andrea Zugarini:
Multi-word Tokenization for Sequence Compression. EMNLP (Industry Track) 2023: 612-621 - [c13]Leonidas Gee, Andrea Zugarini, Novi Quadrianto:
Are Compressed Language Models Less Subgroup Robust? EMNLP 2023: 15859-15868 - [c12]Stefano Fioravanti, Andrea Zugarini, Francesco Giannini, Leonardo Rigutini, Marco Maggini, Michelangelo Diligenti:
Linguistic Feature Injection for Efficient Natural Language Processing. IJCNN 2023: 1-7 - [c11]Andrea Zugarini, Leonardo Rigutini:
SAGE: Semantic-Aware Global Explanations for Named Entity Recognition. IJCNN 2023: 1-8 - [c10]Giovanni Angelini, Marco Ernandes, Tommaso Iaquinta, Caroline Stehlé, Fanny Simões, Kamyar Zeinalipour, Andrea Zugarini, Marco Gori:
The WebCrow French Crossword Solver. INTETAIN 2023: 193-209 - [i10]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Bjoern M. Eskofier:
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors. CoRR abs/2305.12380 (2023) - [i9]Sinan Gultekin, Achille Globo, Andrea Zugarini, Marco Ernandes, Leonardo Rigutini:
An energy-based comparative analysis of common approaches to text classification in the Legal domain. CoRR abs/2311.01256 (2023) - [i8]Giovanni Angelini, Marco Ernandes, Tommaso Iaquinta, Caroline Stehlé, Fanny Simões, Kamyar Zeinalipour, Andrea Zugarini, Marco Gori:
The WebCrow French Crossword Solver. CoRR abs/2311.15626 (2023) - 2022
- [c9]Leonidas Gee, Andrea Zugarini, Leonardo Rigutini, Paolo Torroni:
Fast Vocabulary Transfer for Language Model Compression. EMNLP (Industry Track) 2022: 409-416 - 2021
- [c8]Andrea Zugarini, Marco Ernandes:
A Multi-Strategy Approach to Crossword Clue Answer Retrieval and Ranking. CLiC-it 2021 - [c7]Danielle Lewis, Andrea Zugarini, Eduardo Alonso:
Syllable Neural Language Models for English Poem Generation. ICCC 2021: 350-356 - [c6]Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini:
Generate and Revise: Reinforcement Learning in Neural Poetry. IJCNN 2021: 1-8 - [i7]Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini:
Generate and Revise: Reinforcement Learning in Neural Poetry. CoRR abs/2102.04114 (2021) - 2020
- [j2]Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini:
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4475-4486 (2020) - [c5]Andrea Zugarini, Matteo Tiezzi, Marco Maggini:
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language. VarDial@COLING 2020: 150-159 - [i6]Andrea Zugarini, Matteo Tiezzi, Marco Maggini:
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language. CoRR abs/2010.05993 (2020) - [i5]Andrea Zugarini, Enrico Meloni, Alessandro Betti, Andrea Panizza, Marco Corneli, Marco Gori:
An Optimal Control Approach to Learning in SIDARTHE Epidemic model. CoRR abs/2010.14878 (2020)
2010 – 2019
- 2019
- [c4]Andrea Zugarini, Stefano Melacci, Marco Maggini:
Neural Poetry: Learning to Generate Poems Using Syllables. ICANN (4) 2019: 313-325 - [c3]Achille Globo, Antonio Trevisi, Andrea Zugarini, Leonardo Rigutini, Marco Maggini, Stefano Melacci:
Neural Paraphrasing by Automatically Crawled and Aligned Sentence Pairs. SNAMS 2019: 429-434 - [i4]Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini:
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. CoRR abs/1908.01819 (2019) - [i3]Andrea Zugarini, Stefano Melacci, Marco Maggini:
Neural Poetry: Learning to Generate Poems using Syllables. CoRR abs/1908.08861 (2019) - [i2]Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini:
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. CoRR abs/1909.05367 (2019) - 2018
- [j1]Ottavia Spiga, Vittoria Cicaloni, Andrea Zatkova, Lia Millucci, Giulia Bernardini, Andrea Bernini, Barbara Marzocchi, Monica Bianchini, Andrea Zugarini, Alberto Rossi, Matteo Zazzeri, Alfonso Trezza, Bruno Frediani, Lakshminarayan Ranganath, Daniela Braconi, Annalisa Santucci:
A new integrated and interactive tool applicable to inborn errors of metabolism: Application to alkaptonuria. Comput. Biol. Medicine 103: 1-7 (2018) - [c2]Andrea Zugarini, Jérémy Morvan, Stefano Melacci, Stefan Knerr, Marco Gori:
Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text. ANNPR 2018: 90-101 - [c1]Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini:
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. ICANN (3) 2018: 126-136 - 2017
- [i1]Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi, Dario Zanca, Andrea Zugarini:
Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow. CoRR abs/1703.05298 (2017)
Coauthor Index
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