A fuzzy approach for persian text segmentation based on semantic similarity of sentences

Abstract

Multi-Document summarization strictly needs distinguishing the similarity between sentences & paragraphs of texts because repeated sentences shouldn't exist in final summary so in order to applying this anti-redundancy we need a mechanism that can determining semantic similarities between sentences and expressions and paragraphs and finally between texts. In this paper it's used a fuzzy approach to determining this semantic similarity. We use fuzzy similarity and fuzzy approximation relation for gaining this goal. At first, lemma of Persian words and verbs obtained and then synonyms create a fuzzy similarity relation and via that relation the sentences with near meaning calculated with help of fuzzy proximity relation. So we can produce an anti-redundant final summary that have more valuable information.