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        <title>InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles
%A Conia, Simone
%A Brignone, Fabrizio
%A Zanfardino, Davide
%A Navigli, Roberto
%Y Liu, Qun
%Y Schlangen, David
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2020
%8 October
%I Association for Computational Linguistics
%C Online
%F conia-etal-2020-invero
%X 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.
%R 10.18653/v1/2020.emnlp-demos.11
%U https://aclanthology.org/2020.emnlp-demos.11/
%U https://doi.org/10.18653/v1/2020.emnlp-demos.11
%P 77-84

Markdown (Informal)

[InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles](https://aclanthology.org/2020.emnlp-demos.11/) (Conia et al., EMNLP 2020)

• InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles (Conia et al., EMNLP 2020)

ACL

• Simone Conia, Fabrizio Brignone, Davide Zanfardino, and Roberto Navigli. 2020. InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 77–84, Online. Association for Computational Linguistics.