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In this research the performance of different SR measures is evaluated in the topic segmentation problem. To this end, two topic segmentation algorithms that use the difference in SR of words are introduced. Our results indicate that using an SR measure trained with a general domain corpora achieves better results than topic segmentation algorithms using Wordnet or simple word repetition. Furthermore, when compared with computationally more complex algorithms performing global analysis, our local analysis, enhanced with general domain lexical semantic information, achieves comparable results. <\/jats:p>","DOI":"10.1177\/0165551515602460","type":"journal-article","created":{"date-parts":[[2015,9,5]],"date-time":"2015-09-05T02:29:03Z","timestamp":1441420143000},"page":"597-608","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Topic segmentation using word-level semantic relatedness functions"],"prefix":"10.1177","volume":"42","author":[{"given":"Gonenc","family":"Ercan","sequence":"first","affiliation":[{"name":"Informatics Institute, Hacettepe University, Turkey"}]},{"given":"Ilyas","family":"Cicekli","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Hacettepe University, Turkey"}]}],"member":"179","published-online":{"date-parts":[[2016,7,11]]},"reference":[{"key":"bibr1-0165551515602460","doi-asserted-by":"publisher","DOI":"10.1145\/365628.365657"},{"key":"bibr2-0165551515602460","doi-asserted-by":"publisher","DOI":"10.3758\/BF03204766"},{"key":"bibr3-0165551515602460","doi-asserted-by":"publisher","DOI":"10.1162\/coli.2006.32.1.13"},{"key":"bibr4-0165551515602460","doi-asserted-by":"publisher","DOI":"10.3758\/BF03193020"},{"key":"bibr5-0165551515602460","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2934"},{"volume-title":"Cohesion in English","year":"1976","author":"Halliday MAK","key":"bibr6-0165551515602460"},{"key":"bibr7-0165551515602460","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7287.001.0001"},{"key":"bibr8-0165551515602460","first-page":"10","volume-title":"Proceedings of the ACL workshop on intelligent scalable text summarization","author":"Barzilay R","year":"1997"},{"key":"bibr9-0165551515602460","first-page":"3","volume":"17","author":"Stokes N","year":"2004","journal-title":"Artificial Intelligence Communications"},{"key":"bibr10-0165551515602460","first-page":"33","volume":"23","author":"Hearst MA","year":"1997","journal-title":"Computational Linguistics"},{"key":"bibr11-0165551515602460","doi-asserted-by":"publisher","DOI":"10.3115\/1073012.1073076"},{"key":"bibr12-0165551515602460","doi-asserted-by":"publisher","DOI":"10.3115\/1613715.1613760"},{"key":"bibr13-0165551515602460","first-page":"37","volume-title":"Proceedings of ACL 2012 student research workshop","author":"Riedl M","year":"2012"},{"key":"bibr14-0165551515602460","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2010.11.008"},{"key":"bibr15-0165551515602460","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1023"},{"first-page":"133","volume-title":"Proceedings of the 32nd annual meeting of the Association for Computational Linguistics","author":"Wu Z","key":"bibr16-0165551515602460"},{"key":"bibr17-0165551515602460","doi-asserted-by":"crossref","first-page":"265","DOI":"10.7551\/mitpress\/7287.003.0018","volume-title":"WordNet. 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