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Process."],"published-print":{"date-parts":[[2023,8,31]]},"abstract":"<jats:p>Word sense disambiguation (WSD) is the task of automatically determining the meaning of a polysemous word in a specific context. Word sense induction is the unsupervised clustering of word usages in a different context to distinguish senses and perform unsupervised WSD. Most studies consider function words as stop words and delete them in the pre-processing step. However, function words can encode meaningful information that can help to improve the performance of WSD approaches. We propose in this work a novel approach to solve Arabic verb sense disambiguation that is based on a preposition-based classification that is used in an automatic word sense induction step to build sense inventories to disambiguate Arabic verbs.<\/jats:p>\n          <jats:p>However, in the wake of the success of neural language models, recent works obtained encouraging results using BERT pre-trained models for English-language WSD approaches. Hence, we use contextualized word embeddings for an unsupervised Arabic WSD that is based on linguistic markers and uses sentence-BERT Transformer pre-trained models, which yields encouraging results that outperform other existing unsupervised neural AWSD approaches.<\/jats:p>","DOI":"10.1145\/3605777","type":"journal-article","created":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T12:26:34Z","timestamp":1689078394000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["The Contribution of Selected Linguistic Markers for Unsupervised Arabic Verb Sense Disambiguation"],"prefix":"10.1145","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2823-738X","authenticated-orcid":false,"given":"Asma","family":"Djaidri","sequence":"first","affiliation":[{"name":"Laboratory of Research in Artificial Intelligence (LRIA), USTHB, Algeria and Research Center for Scientific and Technical Information CERIST, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3317-2741","authenticated-orcid":false,"given":"Hassina","family":"Aliane","sequence":"additional","affiliation":[{"name":"Research Center for Scientific and Technical Information CERIST, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5168-2692","authenticated-orcid":false,"given":"Hamid","family":"Azzoune","sequence":"additional","affiliation":[{"name":"Laboratory of Research in Artificial Intelligence (LRIA), USTHB, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,24]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"Ahmed Abdelali James Cowie and Hamdy Soliman. 2005. 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