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In the last few years, pre-trained neural architectures have provided impressive improvements across several NLP tasks.
Gltr: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M Rush. 2019 · 1906
Earlier work this paper cites.
The WaCky wide web: a collection of very large linguistically processed web-crawled corpora
Marco Baroni, Silvia Bernardini, Adriano Ferraresi, and Eros Zanchetta. 2009 · 2009
Earlier work this paper cites.
Wikiextractor
Giuseppe Attardi. 2012 · 2012
Earlier work this paper cites.
Survey of the state of the art in natural language generation: Core tasks, applications and evaluation
Albert Gatt and Emiel Krahmer. 2018 · 2018
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Quanti anni hai? Age Identification for Italian
Aleksandra Maslennikova, Paolo Labruna, Andrea Cimino, and Felice Dell’Orletta. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
Later among the works it cites.
Profiling-UD: a Tool for Linguistic Profiling of Texts
Dominique Brunato, Andrea Cimino, Felice Dell’Orletta, Simonetta Montemagni, and Giulia Venturi. 2020 · 2020
Closest in time.
Invisible to People but not to Machines: Evaluation of Style-aware Headline Generation in Absence of Reliable Human Judgment
Lorenzo De Mattei, Michele Cafagna, Felice Dell’Orletta, and Malvina Nissim. 2020 · 2020
Closest in time.
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