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InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles

Simone Conia, Fabrizio Brignone, Davide Zanfardino, Roberto Navigli

Abstract

Semantic Role Labeling (SRL) is deeply dependent on complex linguistic resources and sophisticated neural models, which makes the task difficult to approach for non-experts. To address this issue we present a new platform named Intelligible Verbs and Roles (InVeRo). This platform provides access to a new verb resource, VerbAtlas, and a state-of-the-art pretrained implementation of a neural, span-based architecture for SRL. Both the resource and the system provide human-readable verb sense and semantic role information, with an easy to use Web interface and RESTful APIs available at http://nlp.uniroma1.it/invero.

October 2020, Association for Computational Linguistics

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