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A Benchmark and Scoring Algorithm for Enriching Arabic Synonyms

  • Birzeit University
  • University of Carthage
  • JARIR

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication12th Global Wordnet Conference, GWC 2023
EditorsGerman Rigau, Francis Bond, Alexandre Rademaker
PublisherAssociation for Computational Linguistics (ACL)
Pages274-283
Number of pages10
ISBN (Electronic)9781713890881
Publication statusPublished - 27 Jan 2023
Externally publishedYes
Event12th Global Wordnet Conference, GWC 2023 - Donositia-San Sebastian, Spain
Duration: 23 Jan 202327 Jan 2023

Publication series

Name12th Global Wordnet Conference, GWC 2023

Conference

Conference12th Global Wordnet Conference, GWC 2023
Country/TerritorySpain
CityDonositia-San Sebastian
Period23/01/2327/01/23

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