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CAMRA: Copilot for AMR Annotation

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arxiv 2311.10928 v2 pith:EOJ6VBSI submitted 2023-11-18 cs.CL cs.AI

Jon Z. Cai , Shafiuddin Rehan Ahmed , Julia Bonn , Kristin Wright-Bettner , Martha Palmer , James H. Martin This is my paper · ORCID
classification cs.CLcs.AI
keywords camraannotationtoolcodingcopilotlookupprogrammingabstract
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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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