CAMRA: Copilot for AMR Annotation.
CoRR(2023)
摘要
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
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