PAMR: Persian Abstract Meaning Representation Corpus
Authors: 
Nasim Tohidi, Chitra Dadkhah, Reza Nouralizadeh Ganji, Ehsan Ghaffari Sadr, Hoda ElmiAuthors Info & Claims
Nasim Tohidi, Chitra Dadkhah, Reza Nouralizadeh Ganji, Ehsan Ghaffari Sadr, Hoda ElmiAuthors Info & ClaimsArticle No.: 35, Pages 1 - 20
Abstract
One of the most used and well-known semantic representation models is Abstract Meaning Representation (AMR). This representation has had numerous applications in natural language processing tasks in recent years. Currently, for English and Chinese languages, large annotated corpora are available. In addition, in some low-resource languages, related corpora have been generated with less size; although, until now, to the best of our knowledge, there is not any AMR corpus for the Persian/Farsi language. Therefore, the aim of this article is to create a Persian AMR (PAMR) corpus via translating English sentences and adjusting AMR guidelines and to solve the various challenges that are faced in this regard. The result of this research is a corpus, containing 1,020 Persian sentences and their related AMR that can be used in various natural language processing tasks. In this article, to investigate the feasibility of using the corpus, we have applied it to two natural language processing tasks: Sentiment Analysis and Text Summarization.
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Index Terms
- PAMR: Persian Abstract Meaning Representation Corpus
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Publication History
Published: 09 March 2024
Online AM: 19 January 2024
Accepted: 14 December 2023
Received: 05 August 2023
Published in TALLIP Volume 23, Issue 3
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