Papers › X-AMR Annotation Tool

X-AMR Annotation Tool

29 Feb 2024arXiv:2403.15407archive 2025-07-28

Shafiuddin Rehan Ahmed, Jon Z. Cai, Martha Palmer, James H. Martin

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

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Abstract Meaning Representation

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Absolute Position Encodings Adam Attention BPE Dense Connections Dropout GPT-4 Label Smoothing Layer Normalization Linear Layer Multi-Head Attention Position-Wise Feed-Forward Layer Residual Connection Softmax Transformer

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