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Process."],"published-print":{"date-parts":[[2021,7,31]]},"abstract":"<jats:p>Nowadays, wordnets are extensively used as a major resource in natural language processing and information retrieval tasks. Therefore, the accuracy of wordnets has a direct influence on the performance of the involved applications. This paper presents a fully-automated method for extending a previously developed Persian wordnet to cover more comprehensive and accurate verbal entries. At first, by using a bilingual dictionary, some Persian verbs are linked to Princeton WordNet synsets. A feature set related to the semantic behavior of compound verbs as the majority of Persian verbs is proposed. This feature set is employed in a supervised classification system to select the proper links for inclusion in the wordnet. We also benefit from a pre-existing Persian wordnet, FarsNet, and a similarity-based method to produce a training set. This is the largest automatically developed Persian wordnet with more than 27,000 words, 28,000 PWN synsets and 67,000 word-sense pairs that substantially outperforms the previous Persian wordnet with about 16,000 words, 22,000 PWN synsets and 38,000 word-sense pairs.<\/jats:p>","DOI":"10.1145\/3450969","type":"journal-article","created":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T14:10:16Z","timestamp":1622038216000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Developing the Persian Wordnet of Verbs Using Supervised Learning"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6538-5966","authenticated-orcid":false,"given":"Zahra","family":"Mousavi","sequence":"first","affiliation":[{"name":"University of Tehran, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heshaam","family":"Faili","sequence":"additional","affiliation":[{"name":"University of Tehran and Institute for Research in Fundamental Sciences, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,5,26]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-014-9291-2"},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC\u201912)","author":"Bagherbeygi Somayeh","year":"2012","unstructured":"Somayeh Bagherbeygi and Mehrnoush Shamsfard . 2012 . Corpus based semi-automatic extraction of Persian compound verbs and their relations . In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC\u201912) . 23\u201325. Somayeh Bagherbeygi and Mehrnoush Shamsfard. 2012. Corpus based semi-automatic extraction of Persian compound verbs and their relations. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC\u201912). 23\u201325."},{"key":"e_1_2_1_3_1","unstructured":"Chumki Basu Laura Dietz and Christiane Fellbaum. 2018. WordNetContext: Information retrieval-friendly access to WordNet senses. In ProfS\/KG4IR\/Data: Search@ SIGIR. 63\u201364.  Chumki Basu Laura Dietz and Christiane Fellbaum. 2018. WordNetContext: Information retrieval-friendly access to WordNet senses. In ProfS\/KG4IR\/Data: Search@ SIGIR. 63\u201364."},{"key":"e_1_2_1_4_1","volume-title":"WordNet construction for under-resourced languages using personalized PageRank. 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