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- W4307822027 abstract "AbstractWe propose a software development method for semantic text similarity based on the analysis of structural properties of pairs of snippets of texts. An agile software method focuses on the detection of biases on generated prototypes to enhance the quality of the expected features. A system for the detection of semantic text similarities is designed and implemented using the software method. The system design defines a set of structures for recording and computation of similarities using algorithms with polynomial complexities. The algorithms exploit knowledge bases for information extraction. Two implementations for English and Spanish were produced to test the portability of the system on European languages. The An experiment on Spanish and English text snippet is performed to test the performance of the prototypes. Results show that the degree of accuracy of the proposed algorithms are improved as the knowledge base content increases. The advantages of this methodologies is the elicitation of similarities between texts and the assessment of the similarity degree from scratch without prior knowledge assumptions.KeywordsKnowledge baseSemantic analysisText similarityPerception of textual structures" @default.
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- W4307822027 date "2022-10-30" @default.
- W4307822027 modified "2023-09-25" @default.
- W4307822027 title "A Software Development Model for Analytical Semantic Similarity Assessment on Spanish and English" @default.
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- W4307822027 doi "https://doi.org/10.1007/978-3-031-20322-0_5" @default.
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