CAMRA: Copilot for AMR Annotation
Abstract
In this paper, we introduce CAMRA (Copilot for AMR Annotatations), a cutting-edge web-based tool designed for constructing Abstract Meaning Representation (AMR) from natural language text. CAMRA offers a novel approach to deep lexical semantics annotation such as AMR, treating AMR annotation akin to coding in programming languages. Leveraging the familiarity of programming paradigms, CAMRA encompasses all essential features of existing AMR editors, including example lookup, while going a step further by integrating Propbank roleset lookup as an autocomplete feature within the tool. Notably, CAMRA incorporates AMR parser models as coding co-pilots, greatly enhancing the efficiency and accuracy of AMR annotators. To demonstrate the tool's capabilities, we provide a live demo accessible at: https://camra.colorado.edu
Keywords
Cite
@article{arxiv.2311.10928,
title = {CAMRA: Copilot for AMR Annotation},
author = {Jon Z. Cai and Shafiuddin Rehan Ahmed and Julia Bonn and Kristin Wright-Bettner and Martha Palmer and James H. Martin},
journal= {arXiv preprint arXiv:2311.10928},
year = {2024}
}
Comments
EMNLP 2023 System Demonstration