DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit
Published in EMNLP 2023 (Findings), 2023
Recommended citation: Yaswanth, N., Guntupalli, S. K., & Goyal, P. (2023). "DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit." Findings of the Association for Computational Linguistics: EMNLP 2023. https://aclanthology.org/2023.findings-emnlp.914/
This paper introduces a novel task focused on identifying correct parsing and semantic relations between components of compounds in Sanskrit. We released 4 newly annotated datasets of nested compounds with contextual sensitivity and proposed a model that achieved an absolute gain of 14.4 points (F1) over the current state-of-the-art (SOTA) system of Nested Named Entity Recognition (NNER).