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        <title>SAVI: Web-based Multilayered Semantic Annotation Validation Interface</title>
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    <abstract>This paper presents SAVI, a web-based interface for multilayer semantic annotation validation of Universal Semantic Representation (USR). USR encodes meaning across interdependent lexical, constructional, relational, discourse, and co-reference layers, making validation challenging using conventional annotation tools. SAVI addresses this limitation through structured tab-based layer separation, constraint-aware editing mechanisms, and role-based review workflows. The system integrates a multilingual concept dictionary to ensure sense-level consistency, along with a Hindi text-generation module and dependency-based visualization to support interpretation and correction. SAVI is implemented using a Flask backend, Flutter frontend, and PostgreSQL for structured data management. Evaluation results demonstrate effective governance of concept proposals and improved efficiency in multilayer USR correction, positioning SAVI as a structured validation framework for scalable semantic corpus development.</abstract>
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%0 Conference Proceedings
%T SAVI: Web-based Multilayered Semantic Annotation Validation Interface
%A Tatavolu, Sashank
%A Paul, Soma
%A Rani, Pratibha
%A Sukhada, Sukhada
%Y Zhao, Jin
%Y Post, Claire Benet
%Y Hoefer, Elizabeth
%S Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F tatavolu-etal-2026-savi
%X This paper presents SAVI, a web-based interface for multilayer semantic annotation validation of Universal Semantic Representation (USR). USR encodes meaning across interdependent lexical, constructional, relational, discourse, and co-reference layers, making validation challenging using conventional annotation tools. SAVI addresses this limitation through structured tab-based layer separation, constraint-aware editing mechanisms, and role-based review workflows. The system integrates a multilingual concept dictionary to ensure sense-level consistency, along with a Hindi text-generation module and dependency-based visualization to support interpretation and correction. SAVI is implemented using a Flask backend, Flutter frontend, and PostgreSQL for structured data management. Evaluation results demonstrate effective governance of concept proposals and improved efficiency in multilayer USR correction, positioning SAVI as a structured validation framework for scalable semantic corpus development.
%R 10.63317/5pynxp3wrue9
%U https://aclanthology.org/2026.dmr-1.7/
%U https://doi.org/10.63317/5pynxp3wrue9
%P 81-90

Markdown (Informal)

[SAVI: Web-based Multilayered Semantic Annotation Validation Interface](https://aclanthology.org/2026.dmr-1.7/) (Tatavolu et al., DMR 2026)

• SAVI: Web-based Multilayered Semantic Annotation Validation Interface (Tatavolu et al., DMR 2026)

ACL

• Sashank Tatavolu, Soma Paul, Pratibha Rani, and Sukhada Sukhada. 2026. SAVI: Web-based Multilayered Semantic Annotation Validation Interface. In Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026, pages 81–90, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).