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arXiv · 2205.07712

Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset

Reza Takhshid·Tara Azin·Razieh Shojaei·Mohammad Bahrani
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Abstract

This paper introduces the Persian Abstract Meaning Representation (AMR) guidelines, a detailed guide for annotating Persian sentences with AMR, focusing on the necessary adaptations to fit Persian's unique syntactic structures. We discuss the development process of a Persian AMR gold standard dataset consisting of 1,562 sentences created following the guidelines. By examining the language specifications and nuances that distinguish AMR annotations of a low-resource language like Persian, we shed light on the challenges and limitations of developing a universal meaning representation framework. The guidelines and the dataset introduced in this study highlight such challenges, aiming to advance the field.

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Reza Takhshid, Tara Azin, Razieh Shojaei, Mohammad Bahrani. 2022-05-16. Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset. https://arxiv.org/abs/2205.07712

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