English

X-AMR Annotation Tool

Computation and Language 2024-03-26 v1 Artificial Intelligence

Abstract

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

Keywords

Cite

@article{arxiv.2403.15407,
  title  = {X-AMR Annotation Tool},
  author = {Shafiuddin Rehan Ahmed and Jon Z. Cai and Martha Palmer and James H. Martin},
  journal= {arXiv preprint arXiv:2403.15407},
  year   = {2024}
}

Comments

EACL 2024 System Demonstration

R2 v1 2026-06-28T15:30:17.441Z