The Extended Arabic WordNet: a Case Study and an Evaluation using a Word Sense Disambiguation System
Arabic WordNet (AWN) represents one of the best-known lexical resources for the Arabic language. However, it contains various issues that affect its use in different Natural Language Processing (NLP) applications. Due to resources deficiency, the update of Arabic WordNet requires much effort. There have only been only two updates it was first published in 2006. The most significant of those being in 2013, which represented a significant development in the usability and coverage of Arabic WordNet. This paper provides a study case on the updates of the Arabic WordNet and the development of its contents. More precisely, we present the new content in terms of relations that have been added to the extended version of Arabic WordNet. We also validate and evaluate its contents at different levels. We use its different versions in a Word Sense Disambiguation system. Finally, we compare the results and evaluate them. Results show that newly added semantic relations can improve the performance of a Word Sense Disambiguation system.
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