no code implementations • NAACL 2022 • Danilo Croce, Simone Filice, Giuseppe Castellucci, Roberto Basili
Experiments in low resource settings show that augmenting the training material with the proposed strategy systematically improves the results on text classification and natural language inference tasks by up to 10% accuracy, outperforming existing DA approaches.
no code implementations • ACL 2021 • Giuseppe Castellucci, Simone Filice, Danilo Croce, Roberto Basili
In real scenarios, a multilingual model trained to solve NLP tasks on a set of languages can be required to support new languages over time.
2 code implementations • ACL 2020 • Danilo Croce, Giuseppe Castellucci, Roberto Basili
Recent Transformer-based architectures, e. g., BERT, provide impressive results in many Natural Language Processing tasks.
1 code implementation • 28 Feb 2020 • Fabio Massimo Zanzotto, Viviana Bono, Paola Vocca, Andrea Santilli, Danilo Croce, Giorgio Gambosi, Roberto Basili
In this paper, we dare to introduce the novel, scientifically and philosophically challenging task of Generating Abstracts of Scientific Papers from abstracts of cited papers (GASP) as a text-to-text task to investigate scientific creativity, To foster research in this novel, challenging task, we prepared a dataset by using services where that solve the problem of copyright and, hence, the dataset is public available with its standard split.
no code implementations • IJCNLP 2019 • Danilo Croce, Daniele Rossini, Roberto Basili
While NLP systems become more pervasive, their accountability gains value as a focal point of effort.
no code implementations • WS 2018 • Danilo Croce, Daniele Rossini, Roberto Basili
Nonlinear methods such as deep neural networks achieve state-of-the-art performances in several semantic NLP tasks.
no code implementations • WS 2017 • Andrea Vanzo, Danilo Croce, Roberto Basili, Daniele Nardi
Service robots are expected to operate in specific environments, where the presence of humans plays a key role.
no code implementations • ACL 2017 • Danilo Croce, Simone Filice, Giuseppe Castellucci, Roberto Basili
Kernel methods enable the direct usage of structured representations of textual data during language learning and inference tasks.
no code implementations • LREC 2016 • Giuseppe Castellucci, Danilo Croce, Roberto Basili
Sentiment Analysis systems aims at detecting opinions and sentiments that are expressed in texts.
no code implementations • LREC 2014 • Emanuele Bastianelli, Giuseppe Castellucci, Danilo Croce, Luca Iocchi, Roberto Basili, Daniele Nardi
Recent years show the development of large scale resources (e. g. FrameNet for the Frame Semantics) that supported the definition of several state-of-the-art approaches in Natural Language Processing.