%0 Conference Proceedings %T InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles %A Conia, Simone %A Orlando, Riccardo %A Brignone, Fabrizio %A Cecconi, Francesco %A Navigli, Roberto %Y Adel, Heike %Y Shi, Shuming %S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations %D 2021 %8 November %I Association for Computational Linguistics %C Online and Punta Cana, Dominican Republic %F conia-etal-2021-invero %X Notwithstanding the growing interest in cross-lingual techniques for Natural Language Processing, there has been a surprisingly small number of efforts aimed at the development of easy-to-use tools for cross-lingual Semantic Role Labeling. In this paper, we fill this gap and present InVeRo-XL, an off-the-shelf state-of-the-art system capable of annotating text with predicate sense and semantic role labels from 7 predicate-argument structure inventories in more than 40 languages. We hope that our system – with its easy-to-use RESTful API and Web interface – will become a valuable tool for the research community, encouraging the integration of sentence-level semantics into cross-lingual downstream tasks. InVeRo-XL is available online at http://nlp.uniroma1.it/invero. %R 10.18653/v1/2021.emnlp-demo.36 %U https://aclanthology.org/2021.emnlp-demo.36 %U https://doi.org/10.18653/v1/2021.emnlp-demo.36 %P 319-328