CLAIFeb 29, 2024

X-AMR Annotation Tool

arXiv:2403.15407v1104 citationsh-index: 4Has CodeEACL
Originality Synthesis-oriented
AI Analysis

This provides a domain-specific tool for researchers and annotators working on corpus-level event semantics, but it is incremental as it builds on existing annotation frameworks.

The paper tackles the problem of annotating cross-document abstract meaning representations for event semantics by introducing a tool that integrates machine assistance, and it demonstrates effectiveness in augmenting an event corpus with advantages when used with GPT-4.

This paper presents a novel Cross-document Abstract Meaning Representation (X-AMR) annotation tool designed for annotating key corpus-level event semantics. Leveraging machine assistance through the Prodigy Annotation Tool, we enhance the user experience, ensuring ease and efficiency in the annotation process. Through empirical analyses, we demonstrate the effectiveness of our tool in augmenting an existing event corpus, highlighting its advantages when integrated with GPT-4. Code and annotations: https://github.com/ahmeshaf/gpt_coref

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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