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.- Anthology ID:
- 2023.gwc-1.34
- Volume:
- Proceedings of the 12th Global Wordnet Conference
- Month:
- January
- Year:
- 2023
- Address:
- University of the Basque Country, Donostia - San Sebastian, Basque Country
- Editors:
- German Rigau, Francis Bond, Alexandre Rademaker
- Venue:
- GWC
- SIG:
- Publisher:
- Global Wordnet Association
- Note:
- Pages:
- 274–283
- Language:
- URL:
- https://aclanthology.org/2023.gwc-1.34
- DOI:
- Cite (ACL):
- Sana Ghanem, Mustafa Jarrar, Radi Jarrar, and Ibrahim Bounhas. 2023. A Benchmark and Scoring Algorithm for Enriching Arabic Synonyms. In Proceedings of the 12th Global Wordnet Conference, pages 274–283, University of the Basque Country, Donostia - San Sebastian, Basque Country. Global Wordnet Association.
- Cite (Informal):
- A Benchmark and Scoring Algorithm for Enriching Arabic Synonyms (Ghanem et al., GWC 2023)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/2023.gwc-1.34.pdf