A Benchmark and Scoring Algorithm for Enriching Arabic Synonyms

The 12th International Global Wordnet Conference (GWC2023), Global Wordnet Association. (pp. ). San Sebastian, Spain, 2023 This paper addresses the task of extending a given synset with additional synonyms taking into account synonymy strength as a fuzzy value. Given a mono/multilingual synset and a...

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Bibliographic Details
Main Authors Ghanem, Sana, Jarrar, Mustafa, Jarrar, Radi, Bounhas, Ibrahim
Format Journal Article
LanguageEnglish
Published 04.02.2023
Subjects
Computer Science - Computation and Language
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Summary:The 12th International Global Wordnet Conference (GWC2023), Global Wordnet Association. (pp. ). San Sebastian, Spain, 2023 This paper addresses the task of extending a given synset with additional synonyms taking into account synonymy strength as a fuzzy value. Given a mono/multilingual synset and a threshold (a fuzzy value [0-1]), our goal is to extract new synonyms above this threshold from existing lexicons. We present twofold contributions: an algorithm and a benchmark dataset. The dataset consists of 3K candidate synonyms for 500 synsets. Each candidate synonym is annotated with a fuzzy value by four linguists. The dataset is important for (i) understanding how much linguists (dis/)agree on synonymy, in addition to (ii) using the dataset as a baseline to evaluate our algorithm. Our proposed algorithm extracts synonyms from existing lexicons and computes a fuzzy value for each candidate. Our evaluations show that the algorithm behaves like a linguist and its fuzzy values are close to those proposed by linguists (using RMSE and MAE). The dataset and a demo page are publicly available at https://portal.sina.birzeit.edu/synonyms.
DOI:10.48550/arxiv.2302.02232