Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Abstract Meaning RepresentationSentenceTranslationSimilar Papers 제목 키워드 기반
Spanish Abstract Meaning Representation: Annotation of a General Corpus
The Abstract Meaning Representation (AMR) formalism, designed originally for English, has been adapted to a number of languages. We build on previous work proposing the annotation of AMR in Spanish, which resulted in the…
Abstract Meaning RepresentationAMR ParsingUniversal Dependencies for Persian
The Persian Universal Dependency Treebank (Persian UD) is a recent effort of treebanking Persian with Universal Dependencies (UD), an ongoing project that designs unified and cross-linguistically valid grammatical repres…
SentencevalidCopula and Case-Stacking Annotations for Korean AMR
This paper concerns the application of Abstract Meaning Representation (AMR) to Korean. In this regard, it focuses on the copula construction and its negation and the case-stacking phenomenon thereof. To illustrate this …
Abstract Meaning RepresentationNegationTowards a General Abstract Meaning Representation Corpus for Brazilian Portuguese
Abstract Meaning Representation (AMR) is a recent and prominent semantic representation with good acceptance and several applications in the Natural Language Processing area. For English, there is a large annotated corpu…
Abstract Meaning RepresentationEnhancing Structured Meaning Representations with Aspect Classification
To fully capture the meaning of a sentence, semantic representations should encode aspect, which describes the internal temporal structure of events. In graph-based meaning representation frameworks such as Uniform Meani…