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20142024
most citedAligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks

227 citations · 435 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.CL2024★ 1 cited

Neural paraphrasing by automatically crawled and aligned sentence pairs

Achille Globo, Antonio Trevisi, Andrea Zugarini +3

Paraphrasing is the task of re-writing an input text using other words, without altering the meaning of the original content. Conversational systems can exploit automatic paraphras…

cs.CL2021

Generate and Revise: Reinforcement Learning in Neural Poetry

Andrea Zugarini, Luca Pasqualini, Stefano Melacci +1

Writers, poets, singers usually do not create their compositions in just one breath. Text is revisited, adjusted, modified, rephrased, even multiple times, in order to better conve…

cs.CL2020

Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language

Andrea Zugarini, Matteo Tiezzi, Marco Maggini

Italian is a Romance language that has its roots in Vulgar Latin. The birth of the modern Italian started in Tuscany around the 14th century, and it is mainly attributed to the wor…

cs.CL2019★ 10 cited

Neural Poetry: Learning to Generate Poems using Syllables

Andrea Zugarini, Stefano Melacci, Marco Maggini

Motivated by the recent progresses on machine learning-based models that learn artistic styles, in this paper we focus on the problem of poem generation. This is a challenging task…

cs.CL2019★ 15 cited

Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances

Marco Maggini, Giuseppe Marra, Stefano Melacci +1

We consider a scenario where an artificial agent is reading a stream of text composed of a set of narrations, and it is informed about the identity of some of the individuals that…

cs.CL2019★ 9 cited

An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning

Giuseppe Marra, Andrea Zugarini, Stefano Melacci +1

In the last few years, neural networks have been intensively used to develop meaningful distributed representations of words and contexts around them. When these representations, a…