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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2205.07712 |
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| _version_ | 1866912335332900864 |
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| author | Takhshid, Reza Azin, Tara Shojaei, Razieh Bahrani, Mohammad |
| author_facet | Takhshid, Reza Azin, Tara Shojaei, Razieh Bahrani, Mohammad |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2205_07712 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset Takhshid, Reza Azin, Tara Shojaei, Razieh Bahrani, Mohammad Computation and Language 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. |
| title | Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2205.07712 |