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First, a feature selection phase is employed. Then, FarsNet, the Persian WordNet, is utilised to extract the semantic information of words. Therefore, the input sentences are categorised into three main clusters: similarity, relatedness and coherency. Each similarity cluster contains similar sentences to its core, while each relatedness cluster contains sentences that are related (but not similar) to its core. The coherency clusters show the sentences that should be kept together to preserve the coherency of the summary. Finally, the centroid of each similarity cluster having the most feature score is added to an empty summary. The summary is enlarged by including related sentences from relatedness clusters and excluding similar sentences to its content iteratively. Coherency clusters are applied to the created summary in the last step. The proposed method has been compared with three known existing text summarisation systems and techniques for the Persian language: FarsiSum, Parsumist and Ijaz. Our proposed method leads to improvement in experimental results on different measurements including precision, recall, F-measure, ROUGE-N and ROUGE-L.<\/jats:p>","DOI":"10.1177\/0165551517693537","type":"journal-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T05:59:30Z","timestamp":1488175170000},"page":"314-330","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Similarity versus relatedness: A novel approach in extractive Persian document summarisation"],"prefix":"10.1177","volume":"44","author":[{"given":"Fatemeh","family":"Shafiee","sequence":"first","affiliation":[{"name":"Natural Language Processing (NLP) Research Lab, Faculty of Computer Science and Engineering, Shahid Beheshti University, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehrnoush","family":"Shamsfard","sequence":"additional","affiliation":[{"name":"Natural Language Processing (NLP) Research Lab, Faculty of Computer Science and Engineering, Shahid Beheshti University, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,2,1]]},"reference":[{"key":"bibr1-0165551517693537","volume-title":"Towards summarization of written text conversations","author":"Sood A","year":"2013"},{"key":"bibr2-0165551517693537","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2011.03.008"},{"key":"bibr3-0165551517693537","volume-title":"Proceedings of 5th global WordNet conference","author":"Shamsfard M"},{"key":"bibr4-0165551517693537","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28569-1_1"},{"key":"bibr5-0165551517693537","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_3"},{"key":"bibr6-0165551517693537","doi-asserted-by":"publisher","DOI":"10.1142\/S0218213010000285"},{"key":"bibr7-0165551517693537","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.12.031"},{"key":"bibr8-0165551517693537","first-page":"1","volume-title":"Mobile computing, applications, and services","author":"Wu P","year":"2011"},{"key":"bibr9-0165551517693537","first-page":"57","volume-title":"Proceedings of the 45th annual meeting of the ACL on interactive poster and demonstration sessions","author":"Fuentes M"},{"key":"bibr10-0165551517693537","first-page":"256","volume-title":"Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning","author":"Ryang S"},{"key":"bibr11-0165551517693537","first-page":"689","volume-title":"Proceedings of the 22nd international conference on computational linguistics","author":"Qazvinian V"},{"key":"bibr12-0165551517693537","first-page":"97","volume":"47","author":"Plaza L","year":"2011","journal-title":"Procesamiento del lenguaje natural"},{"key":"bibr13-0165551517693537","first-page":"340","volume-title":"Proceedings of the 23rd international conference on computational linguistics","author":"Ganesan K"},{"key":"bibr14-0165551517693537","first-page":"1499","volume-title":"Proceedings of the 10th annual conference of the international speech communication association (INTERSPEECH)","author":"Garg N"},{"key":"bibr15-0165551517693537","doi-asserted-by":"crossref","unstructured":"Pourvali M, Abadeh MS. 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