Issa, Atoum and Ahmed, Otoom and Narayanan, Kulathuramaiyer (2016) A Comprehensive Comparative Study of Word and Sentence Similarity Measures. International Journal of Computer Applications, 135 (1). ISSN 0975 – 8887
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Abstract
Sentence similarity is considered the basis of many natural language tasks such as information retrieval, question answering and text summarization. The semantic meaning between compared text fragments is based on the words’ semantic features and their relationships. This article reviews a set of word and sentence similarity measures and compares them on benchmark datasets. On the studied datasets, results showed that hybrid semantic measures perform better than both knowledge and corpus based measures.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Word Similarity, Sentence Similarity, Corpus Measures, Knowledge Measures, Hybrid Measures, Text Similarity, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 23 May 2017 04:17 |
| Last Modified: | 04 Feb 2022 08:45 |
| URI: | http://ir.unimas.my/id/eprint/16381 |
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