@inproceedings{tatavolu-etal-2026-savi,
    title = "{SAVI}: Web-based Multilayered Semantic Annotation Validation Interface",
    author = "Tatavolu, Sashank  and
      Paul, Soma  and
      Rani, Pratibha  and
      Sukhada, Sukhada",
    editor = "Zhao, Jin  and
      Post, Claire Benet  and
      Hoefer, Elizabeth",
    booktitle = "Proceedings of The Seventh International Workshop on Designing Meaning Representations ({DMR} 2026) @ {LREC} 2026",
    month = may,
    year = "2026",
    address = "Palma, Mallorca (Spain)",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/ingest-nlpsi/2026.dmr-1.7/",
    doi = "10.63317/5pynxp3wrue9",
    pages = "81--90",
    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."
}